Height and weight evaluation method and device, electronic equipment and storage medium

Abstract

The application is suitable for the technical field of children's growth and development evaluation, and provides a height and weight evaluation method and device, an electronic equipment and a storage medium. The height and weight evaluation method comprises the following steps: obtaining the living age, gender, height, weight and bone image of a target to be evaluated; determining the radius grade of the target to be evaluated according to the bone image; determining the first height percentile, the first weight percentile, the second height percentile and the second weight percentile of the target to be evaluated according to the living age, gender, height, weight, radius grade and height and weight growth chart adjusted according to the radius grade; and then evaluating the height and weight of the target to be evaluated according to the first height percentile, the first weight percentile, the second height percentile and the second weight percentile. The application can improve the accuracy of the height and weight evaluation of children, so that the user can better understand the growth and development of children.

Description

Technical Field

[0001] This application belongs to the field of children's growth and development evaluation technology, and in particular relates to height and weight assessment methods, devices, electronic devices and storage media. Background Technology

[0002] Analyzing children's growth and development can better help them achieve healthy growth, and accurate assessment of children's growth and development is receiving increasing attention from parents.

[0003] Growth charts are mostly created by grouping the chronological age of the study sample and then calculating the height and weight percentiles for each age group. Therefore, growth charts are called age-specific height or age-specific weight percentile growth standards. However, within each age group, there are children of the same chronological age who are underdeveloped. Current growth charts can only reflect the pairwise relationship between a child's height and weight and their chronological age, but they cannot distinguish the influence of developmental stage on height or weight. Therefore, using such charts to evaluate the height and weight of children who are developing early or late will lead to bias.

[0004] In related technologies, indicators for evaluating children's height and weight include genetic height reference values ​​and body mass index. However, these indicators cannot help distinguish the impact of developmental stage on height or weight, and it is difficult to avoid misclassifying children who develop early or late based solely on height and age. Summary of the Invention

[0005] This application provides a height and weight assessment method, device, electronic device, and storage medium to address the problem of inaccurate assessment results when evaluating children's height and weight in related technologies.

[0006] This application is achieved through the following technical solution: In a first aspect, embodiments of this application provide a height and weight assessment method, comprising: acquiring the chronological age, gender, height, weight, and skeletal image of the target to be assessed; determining the radius grade of the target to be assessed based on the skeletal image; determining a first height percentile, a first weight percentile, a second height percentile, and a second weight percentile of the target to be assessed based on the chronological age, gender, height, weight, radius grade, and a radius grade-adjusted height and weight growth chart; wherein the radius grade-adjusted height and weight growth chart includes a height and weight standardized growth curve and a radius grade-adjusted height and weight curve; and assessing the height and weight of the target to be assessed based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile.

[0007] In conjunction with the first aspect, in some embodiments, assessing the height level based on the first height percentile and the second height percentile to determine the accuracy of the height level includes: If either the first height percentile or the second height percentile is less than a first threshold, or if either the first height percentile or the second height percentile is greater than a second threshold, then the accuracy of the height level of the target to be evaluated is determined to be height accuracy level three; wherein the first threshold is less than the second threshold. If the first height percentile and the second height percentile are the same, then the accuracy of the height level of the target to be evaluated is determined to be height accuracy level one. If the first height percentile and the second height percentile are different, and both the first height percentile and the second height percentile are greater than or equal to the first threshold, and both the first height percentile and the second height percentile are less than or equal to the second threshold, then the accuracy of the height level of the target to be evaluated is determined to be height accuracy level two; wherein the accuracy of height accuracy level one is higher than the accuracy of height accuracy level two, and the accuracy of height accuracy level two is higher than the accuracy of height accuracy level three. The step of assessing the weight level based on the first and second weight percentiles to determine the accuracy of the weight level includes: if the first or second weight percentile is less than a third threshold, or if the first or second weight percentile is greater than a fourth threshold, then the accuracy of the weight level of the target to be assessed is determined to be weight accuracy level three; wherein the third threshold is less than the fourth threshold; if the first and second weight percentiles are the same, then the accuracy of the weight level of the target to be assessed is determined to be weight accuracy level one; if the first and second weight percentiles are different, both the first and second weight percentiles are greater than or equal to the third threshold, and both the first and second weight percentiles are less than or equal to the fourth threshold, then the accuracy of the weight level of the target to be assessed is determined to be weight accuracy level two; wherein the accuracy of weight accuracy level one is higher than the accuracy of weight accuracy level two, and the accuracy of weight accuracy level two is higher than the accuracy of weight accuracy level three.

[0008] In conjunction with the first aspect, in some embodiments, before determining the first height percentile, first weight percentile, second height percentile, and second weight percentile of the target to be evaluated based on the height-weight growth chart adjusted according to the chronological age, the height, the weight, and the radius grade, the method further includes: acquiring body data of multiple sample individuals, the body data including sample chronological age, sample sex, sample height, sample weight, and sample radius grade; dividing the body data of the multiple sample individuals into multiple groups with the same radius grade and the same sex; within each group, determining the adjusted height-weight curve corresponding to each sample radius grade for each sex based on the range of sample age; and overlaying the adjusted height-weight curves corresponding to each radius grade and the standardized height-weight growth curve in the same chart to obtain the height-weight growth chart adjusted for radius grade.

[0009] In conjunction with the first aspect, in some embodiments, within each group, based on the age range of the samples, an adjusted height-weight curve corresponding to the radius grade of each sample for each sex is determined, including: Within each group, based on the BCPE distribution model, the GAMLSS model, and the range of sample ages, the adjusted height-weight curves corresponding to the radius grade of each sample under each sex are calculated.

[0010] Secondly, embodiments of this application provide a height and weight assessment device, comprising: an acquisition module for acquiring the chronological age, sex, height, weight, and radius grade of the target to be assessed; a first determination module for determining the radius grade of the target to be assessed based on the skeletal image; a second determination module for determining a first height percentile, a first weight percentile, a second height percentile, and a second weight percentile of the target to be assessed based on the chronological age, sex, height, weight, radius grade, and a radius grade-adjusted height and weight growth chart; wherein the radius grade-adjusted height and weight growth chart includes a height-weight standardized growth curve and a radius grade-adjusted height-weight curve; and an assessment module for assessing the height and weight of the target to be assessed based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile.

[0011] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the height and weight assessment method as described in any of the first aspects.

[0012] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the height and weight assessment method as described in any of the first aspects.

[0013] Fifthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to execute the height and weight assessment method described in any of the first aspects above.

[0014] The advantages of the embodiments in this application compared with related technologies are: This application provides a height and weight assessment method. The method determines the first height percentile, first weight percentile, second height percentile, and second weight percentile of the target based on their age, sex, height, weight, radius grade, and a height-weight growth chart adjusted for radius grade. These two sets of height and weight percentiles are then used to assess the target's height and weight. Notably, this application introduces a new dimension—radial grade—and utilizes a height-weight growth chart adjusted for radius grade to assess the target's height and weight. This effectively verifies the accuracy of height and weight obtained from standardized growth curves, thereby improving the accuracy of the height and weight assessment results.

[0015] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this specification. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart of a height and weight assessment method provided in an embodiment of this application; Figure 2 This is a height chart for a girl adjusted according to radius grade 6, provided in one embodiment of this application; Figure 3 This is a height chart for boys adjusted according to radius grade 6, provided in one embodiment of this application; Figure 4This is a comparison chart of the 50th percentile curve of height and weight adjusted for radius grade and the standardized 50th percentile growth curve of height and weight provided in one embodiment of this application. Figure 5 This is a height chart for a girl adjusted according to radius grade 6, provided in one embodiment of this application; Figure 6 This is a growth chart of a boy's radius grade 6 adjusted for age and body mass index, provided in one embodiment of this application. Figure 7 This is a schematic flowchart of a height and weight assessment method provided in another embodiment of this application; Figure 8 This is a schematic diagram of the height and weight assessment device provided in the embodiments of this application; Figure 9 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0019] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0020] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0021] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0022] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0023] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0024] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0025] Analyzing children's growth and development can better help them achieve healthy growth. Growth charts are important tools for children's health screening and pediatric clinical examinations. They are typically created by grouping children by chronological age and calculating the percentiles of height and weight distributions, hence the names height-for-age and weight-for-age charts. However, applying these charts to children at different developmental stages can lead to varying degrees of bias.

[0026] Research in related fields has shown that due to differences in physical development, the height difference between boys and girls can reach 11cm and 9cm, respectively, and the weight difference can reach 12kg and 10.5kg, respectively. At the peak of height growth, the likelihood of misclassifying a boy's or girl's height due to differences in maturity is 2.3 times and 1.3 times higher, respectively, than at age 5, while the likelihood of misclassifying a boy's weight is 4.9 times and 3.1 times higher, respectively.

[0027] In related technologies, there are multiple dimensions for evaluating children's height and weight, such as genetic height reference values, body mass index, and predicted height values. However, these indicators cannot help distinguish the impact of developmental stage on height or weight, and it is difficult to avoid misclassifying children who develop early or late based solely on height and age.

[0028] To address the aforementioned issues, this application provides a method, apparatus, electronic device, and storage medium for height and weight assessment. The method first acquires the age, sex, height, weight, and skeletal images of the target to be assessed. Based on the skeletal images, the radius grade of the target is determined. Then, the height and weight of the target are assessed based on the target's age, sex, height, weight, radius grade, and a height-weight growth chart adjusted for radius grade. This method introduces the radius grade as a new dimension for assessing the target's height and weight using a height-weight growth chart adjusted for radius grade. Furthermore, by reflecting the influence of developmental stage on height and weight through the radius grade, the accuracy of height and weight obtained from standardized growth curves can be effectively verified, thereby improving the accuracy of the height and weight assessment results.

[0029] Figure 1 This is a schematic flowchart of a height and weight assessment method provided in an embodiment of this application, referred to... Figure 1 The detailed description of this height and weight assessment method is as follows: S101, Obtain the life age, sex, height, weight, and skeletal images of the target to be evaluated.

[0030] In this application embodiment, the target to be evaluated can be a child or adolescent aged 0-18, and the skeletal image of the target to be evaluated can be an X-ray image of the left wrist of the target to be evaluated.

[0031] In some embodiments, the lifespan, gender, height, and weight of the target to be evaluated can be obtained by receiving body data input by the user, and skeletal images of the target to be evaluated can be obtained by receiving image information input by the user.

[0032] In other embodiments, the implementation apparatus used in the methods of this application may include an image acquisition device and an image transmission device. The image acquisition device is used to acquire skeletal images of the target to be evaluated, and the image transmission device is used to transmit the skeletal images acquired by the image acquisition device. This embodiment can obtain the skeletal images of the target to be evaluated by receiving the skeletal images transmitted by the image transmission device.

[0033] In some embodiments, before acquiring skeletal images of the target to be evaluated using an image acquisition device, in order to obtain effective skeletal images, this embodiment sets the shooting conditions for the skeletal images, which may include: 1011. During the shooting process, the left palm of the target to be evaluated is facing down, close to the cassette, with the middle finger axis in a straight line with the forearm, the five fingers naturally spread apart, and the thumb at a 30-degree angle to the palm.

[0034] 1012. Take an anteroposterior X-ray image of the left wrist, including the bones of the hand joints and the distal ends of the radius and ulna 2-3 cm.

[0035] 1013, the distance between segments is greater than 80cm.

[0036] 1014, the center of the X-ray machine's tube is directly facing the head of the third metacarpal head.

[0037] In the above embodiment, it is necessary to ensure that the wrist of the target to be evaluated is placed in accordance with condition 1011 and the position of the X-ray machine is in accordance with condition 1014. This can ensure that accurate bone information is obtained, thereby ensuring that the radius grade determined in step S102 is accurate and reliable.

[0038] S102, Determine the radius grade of the target to be evaluated based on skeletal imaging.

[0039] The radius is a biological indicator for assessing a child's maturity. In this application, the inventors analyzed and calculated the body data of tens of thousands of sample assessment subjects. By calculating the correlation between height and weight and radius grade in different age groups, and the correlation between height and weight and chronological age within each radius grade, the influence of chronological age and radius development grade on height and weight was studied. Therefore, based on the characteristics of the radius, a child's development process can be divided into multiple grades, each grade lasting for many years. The radius grade can serve as a reference indicator for a child's developmental level, and thus, it can be an effective indicator for assessing a child's height and weight.

[0040] In some embodiments, this embodiment can evaluate the radius grade of the target to be evaluated based on the growth characteristics of the epiphysis and the degree of fusion between the epiphysis and metaphysis in the above-described skeletal images. Here, the radius grade can include radius grade 4, radius grade 5, radius grade 6, radius grade 7, radius grade 8, radius grade 9, and radius grade 10.

[0041] Among them, radius grades 4, 5, 6, and 7 can be evaluated by identifying the growth characteristics of the epiphysis in skeletal images. Radius grades 8, 9, and 10 can be evaluated by identifying the degree of fusion between the epiphysis and metaphysis in epiphyseal images.

[0042] Optionally, the evaluation criteria for grade 4 radius are the appearance of a dense white line within the distal edge of the epiphysis, which is the palmar edge, and the dorsal edge is distal to it.

[0043] The evaluation criteria for a radius grade 5 are that the proximal edge of the epiphysis can be divided into a palmar surface and a dorsal surface, with the palmar surface being an irregular, dense white line along its edge; the medial end of the epiphysis grows medially and proximally, and the shape of the proximal edge exceeding a first preset proportion is consistent with the shape of the diaphysis. For example, the first preset proportion can be 80%.

[0044] The evaluation criteria for radius grade 6 are: the appearance of lunate and scaphoid articular surfaces on the dorsal surface of the epiphysis, connected by a small hump; the appearance of palmar and dorsal surfaces articulating with the ulnar epiphysis on the medial margin of the epiphysis, with the palmar or dorsal surface protruding medially; and a concavity degree greater than 0 and less than a second preset ratio on the proximal margin of the epiphysis. In one possible implementation, the second preset ratio can be 5%.

[0045] The evaluation criteria for radius grade 7 is that the epiphysis covers the epiphyseal end on one or both sides. One side can be the medial side.

[0046] The evaluation criteria for a radius grade 8 is that the epiphysis and metaphysis begin to fuse.

[0047] The evaluation criteria for a radius grade 9 is that the epiphysis and metaphysis are fused by half.

[0048] The evaluation criteria for a radius grade 10 is complete fusion of the epiphysis and metaphysis.

[0049] S103, based on the target's age, sex, height, weight, radius grade, and radius grade-adjusted height-weight growth chart, determine the target's first height percentile, first weight percentile, second height percentile, and second weight percentile; wherein, the radius grade-adjusted height-weight growth chart includes a height-weight standardized growth curve and a radius grade-adjusted height-weight curve.

[0050] In some embodiments, prior to step S103, the height and weight assessment method may further include: S1026, Obtain physical data of multiple sample assessment targets, including sample life age, sample sex, sample height, sample weight, and sample radius grade.

[0051] S1027 divides the body data of multiple sample assessment targets into multiple groups with the same radius grade and the same sex.

[0052] In this embodiment, through the above step S1027, body data of boys grouped by each radius grade and body data of girls grouped by each radius grade can be obtained.

[0053] Table 1 shows the age range of each radius grade of the target samples to be evaluated and the number distribution of the target samples to be evaluated in an embodiment of this application.

[0054] Table 1 S1028, within each group, based on the age range of the samples, determine the adjusted height-weight curve corresponding to the radius grade of each sample under each gender.

[0055] In this embodiment, the adjusted height-weight curves corresponding to the radius grade of each sample include the adjusted height curve and the adjusted weight curve corresponding to the radius grade of each sample.

[0056] Optionally, the implementation process of step S1028 includes: S10281, based on R software, uses the BCPE model (Box-Cox power exponential distribution) and the GAMLSS model (generalized additive model for location, scale and shape) to process and calculate the life age, height and weight of samples in each group. S10282, Determine the explanatory variable function and select the degrees of freedom of the model's explanatory variables; S10283, calculate and plot the percentile curves and SDS (standard deviation score) curves of height and weight for each radius grade under each gender. The percentile curves of height and weight for each radius grade are the adjusted height and weight curves corresponding to each sample radius grade.

[0057] The percentile curves mentioned above include the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentile curves, and the SDS curves mentioned above include the 3rd, 2nd, 1st, 0th, -1st, -2nd, and -3rd SDS curves.

[0058] In this embodiment, the goodness of fit can be represented by the percentage of the number of samples under the fitted percentile curve.

[0059] S1029, the adjusted height and weight curves and the standardized height and weight growth curves corresponding to each radius grade are superimposed and plotted on the same chart to obtain the height and weight growth chart adjusted for radius grade.

[0060] In this application embodiment, the height and weight standardized growth curve refers to the existing height and weight chart "Standardized Growth Curves of Height and Weight of Chinese Children and Adolescents Aged 0-18", which includes height standardized growth curves and weight standardized growth curves for each gender.

[0061] In some embodiments, the SDS curves of height and weight within each radius grade can be overlaid with the standardized SDS curves of height and weight and plotted on the same chart to obtain a radius grade-adjusted height and weight SDS chart.

[0062] In this embodiment of the application, the radius-grade adjusted height and weight growth chart includes multiple charts, which may include height charts and weight charts for girls and boys, respectively. Step S1029 may include: The height curves and height-standardized growth curves corresponding to each radius grade are superimposed and plotted on the same chart to obtain the height chart adjusted for each radius grade; the weight curves and weight-standardized growth curves corresponding to each radius grade are superimposed and plotted on the same chart to obtain the height chart adjusted for each radius grade.

[0063] For example, Figure 2 This is a height chart for a girl adjusted according to radius grade 6, provided in one embodiment of this application. See [link / reference]. Figure 2 The age range corresponding to girls with radius grade 6 is 7 to 12.5 years old. Therefore, the age overlap between the height curve 210 adjusted for radius grade 6 and the standard height growth curve 220 for girls is 7 to 12.5 years old. Figure 3 This is a height chart for boys adjusted according to radius grade 6, provided in one embodiment of this application. See [link / reference]. Figure 3 The age range corresponding to boys with radius grade 6 is 8 to 14.5 years old. Therefore, the age overlap between the height curve 310 adjusted for radius grade 6 and the standard height growth curve 320 for boys is 8 to 14.5 years old.

[0064] In the embodiments of this application, the correlation between height and radius grade varies in different growth stages of children. For example, the correlation between height and radius grade is higher in childhood (3-9 years old for boys, 3-8 years old for girls) and early puberty (10-12.5 years old for boys, 9-12 years old for girls), and lower in late puberty (13-16 years old for boys, 12.5-15 years old for girls).

[0065] Figure 4This is a comparison chart of the radius grade-adjusted height and weight 50th percentile curve and the height and weight standardized 50th percentile growth curve provided in one embodiment of this application. Figure 4 In the figure, 'a' represents a comparison chart of the 50th percentile height curve adjusted for radius grade and the standardized 50th percentile height growth curve for boys. Figure 4 In the figure, 'b' is a comparison chart of the 50th percentile height curve adjusted for radius grade and the standardized 50th percentile height growth curve for girls. Figure 4 In the figure, 'c' is a comparison chart of the 50th percentile growth curve of the boy's radius grade adjusted for weight and the 50th percentile growth curve of his body weight standardized. Figure 4 In the figure, d represents a comparison chart of the girl's radius grade-adjusted 50th percentile growth curve and the weight-standardized 50th percentile growth curve.

[0066] like Figure 4 As shown, the 50th percentile curves of height and weight adjusted by radius grade and the standardized 50th percentile growth curves of height and weight exhibit varying degrees of angle at different stages of child development. This reflects the different degrees to which radius grade affects height and weight at different developmental stages. In childhood (radial grade 4 and 5), the angle is smaller, indicating a smaller adjustment effect of radius grade on height and weight. In adolescence (radial grade 6 and 7), the angle is larger, indicating a greater adjustment effect of radius grade on height and weight. However, the impact of radius grade on height and weight differs in late adolescence. The influence of radius grades 8, 9, and 10 on height gradually decreases, with the final radius grade 10 almost parallel to the standardized 50th percentile growth curve. The situation is different with weight, where a certain influence still exists in late adolescence (radial grades 9 and 10).

[0067] Alternatively, curve overlay can be achieved using functions or tools in Matlab.

[0068] In the above embodiments, the adjusted height-weight curves and standardized height-weight growth curves corresponding to each radius grade are superimposed and plotted on the same chart, which can simultaneously reflect the influence of life age on height-weight and the influence of developmental level on height-weight, providing a more reliable tool for the assessment of height-weight.

[0069] In some embodiments, the implementation process of step S103 above may include: S1031, based on the life age, sex, height, and height-standardized growth curve of the target to be evaluated, determine the first height percentile of the target to be evaluated.

[0070] S1032, determine the first weight percentile of the target to be evaluated based on the target's age, sex, weight, and weight-standardized growth curve.

[0071] S1033, based on the life age, sex, height, radius grade, and radius grade-adjusted height curve of the target to be evaluated, determine the second height percentile of the target to be evaluated.

[0072] S1034, determine the second weight percentile of the target to be evaluated based on the target's age, sex, weight, radius grade, and radius grade-adjusted weight curve.

[0073] In this embodiment, firstly, based on the gender and radius grade of the target to be evaluated, a radius grade-adjusted height-weight growth chart is determined to be used for the evaluation. Then, based on the target's age and height, the position of their height level on the corresponding radius grade-adjusted height chart is determined. Next, based on the position of this position relative to the height-standardized growth curve, the first height percentile of the target to be evaluated is determined. Finally, based on the position of this position relative to the radius grade-adjusted height curve, the second height percentile of the target to be evaluated is determined. Similarly, the process for determining the first and second weight percentiles is the same as the process for determining the height percentiles, and will not be repeated here.

[0074] S104, assess the height and weight of the target based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile.

[0075] In some embodiments, the height-weight standardized growth curve includes a height-standardized growth curve and a weight-standardized growth curve, and the radius-grade-adjusted height-weight curve includes a radius-grade-adjusted height curve and a radius-grade-adjusted weight curve. The implementation process of step S104 may include: S1041, determine the height level of the target to be evaluated based on the first height percentile.

[0076] S1042, Determine the weight level of the target to be evaluated based on the first weight percentile.

[0077] S1043 assesses height levels based on the first and second height percentiles to determine the accuracy of height levels.

[0078] Optionally, step S1043 may include: If the first height percentile or the second height percentile is less than the first threshold, or if the first height percentile or the second height percentile is greater than the second threshold, then the accuracy of the height level of the target to be evaluated is determined to be level three; wherein the first threshold is less than the second threshold. If the first height percentile and the second height percentile are the same, then the accuracy of determining the height level of the target to be evaluated is height accuracy level one. If the first height percentile and the second height percentile are different, both the first height percentile and the second height percentile are greater than or equal to the first threshold, and both the first height percentile and the second height percentile are less than or equal to the second threshold, then the accuracy of determining the height level of the target to be evaluated is determined to be height accuracy level two. Among them, the accuracy of height accuracy level 1 is higher than that of height accuracy level 2, and the accuracy of height accuracy level 2 is higher than that of height accuracy level 3.

[0079] Optionally, the first threshold can be the 3rd percentile, and the second threshold can be the 97th percentile. When the height percentile of the target to be evaluated is less than the 3rd percentile, the height level of the target to be evaluated can be considered as late development; when the height percentile of the target to be evaluated is greater than the 97th percentile, the height level of the target to be evaluated can be considered as early development.

[0080] S1044, assess the weight level based on the first and second weight percentiles to determine the accuracy of the weight level.

[0081] Optionally, step S1044 may include: If the first or second weight percentile is less than the third threshold, or if the first or second weight percentile is greater than the fourth threshold, then the accuracy of the weight level of the target to be evaluated is determined to be level three; wherein the third threshold is less than the fourth threshold. If the first and second weight percentiles are the same, the accuracy of determining the weight level of the target to be evaluated is grade 1. If the first weight percentile and the second weight percentile are different, both the first weight percentile and the second weight percentile are greater than or equal to the third threshold, and both the first weight percentile and the second weight percentile are less than or equal to the fourth threshold, then the accuracy of determining the weight level of the target to be evaluated is weight accuracy level two. Among them, the accuracy of weight accuracy level 1 is higher than that of weight accuracy level 2, and the accuracy of weight accuracy level 2 is higher than that of weight accuracy level 3.

[0082] Optionally, the third threshold can be the 3rd percentile, and the fourth threshold can be the 97th percentile.

[0083] To more clearly illustrate the above method, a specific embodiment is provided below: First, obtain the physical data of target 51 and target 52 to be evaluated. Target 51 is a girl, aged 12 years, with a height of 138cm and a radius grade of 6. Target 52 is a girl, aged 8 years, with a height of 139cm and a radius grade of 6. Figure 5 This is a height chart for a girl adjusted according to radius grade 6, provided in one embodiment of this application. (See attached image.) Figure 5 As shown, based on the body data of targets 51 and 52 to be evaluated, their respective height levels were determined at corresponding points on the height chart adjusted for radius grade 6. It can be determined that the first height percentile of target 51 is less than the 3rd percentile, and the second height percentile is the 13th percentile. The first height percentile of target 52 is higher than the 97th percentile, and the second height percentile is the 79th percentile.

[0084] Since the first height percentile of target 51 is less than the 3rd percentile, target 51 can be considered a child with delayed height development. Since the first height percentile of target 52 is higher than the 97th percentile, target 52 can be considered a child with early height development. However, the second height percentile of target 51 is the 13th percentile, meaning that after considering developmental stage, target 51's height is not considered delayed. Therefore, the accuracy of target 51's height assessment is determined to be level three, a relatively low level. Its final height evaluation should consider the second height percentile in addition to the first height percentile. Similarly, after considering developmental stage, target 52's height is not considered early, and its final height evaluation should also consider the second height percentile in addition to the first height percentile.

[0085] In one possible implementation, the adjustment of the radius grade to the body mass index (BMI) can also be considered. After step S102, the height and weight assessment method may further include steps S201 and S202: S201. Based on the target's age, sex, height, weight, radius grade, and age-adjusted body mass index growth chart, determine the first and second body mass index percentiles of the target to be evaluated; wherein, the age-adjusted body mass index growth chart includes the standard growth curve of body mass index and the age-adjusted body mass index curve of radius grade.

[0086] In this implementation, the aforementioned standard growth curve for body mass index can be the "Growth Curve of Body Mass Index for Chinese Children and Adolescents Aged 0-18," and the aforementioned age-adjusted body mass index growth chart for radius grade can also include curves for overweight and obesity thresholds; the aforementioned step S201 can be achieved through the following steps: S2011, calculate the body mass index of the target based on the target's height and weight.

[0087] S2012, based on the standard growth curves of the target's life age, sex, body mass index, and body mass index, determine the first body mass index percentile.

[0088] S2013, based on the age-adjusted body mass index curve of the target under evaluation, including life age, sex, body mass index, and radius grade, the second body mass index percentile is determined.

[0089] Before step S201, an age-adjusted body mass index (BMI) curve based on the principle of step S1028 can be plotted. This BMI curve can include the 3rd, 5th, 10th, 50th, 85th, 90th, 95th, and 97th percentile curves for the age-adjusted BMI within each radius grade. Since the BMI primarily reflects the weight level of the target being assessed, overweight and obesity threshold curves are also plotted. For boys' weight levels, the overweight threshold curve is actually the 82.0 percentile curve, and the obesity threshold curve is actually the 96.3 percentile curve; for girls' weight levels, the overweight threshold curve is actually the 87.4 percentile curve, and the obesity threshold curve is actually the 98.0 percentile curve.

[0090] Figure 6 This application provides an embodiment of a boy's radius grade 6-adjusted age-based body mass index growth chart, such as... Figure 6 As shown, the boy's age-adjusted body mass index (BMI) growth chart for radius grade 6 includes standard BMI growth curves (BMI standard curve 1, BMI standard curve 2), age-adjusted BMI curves for radius grade 6 (RSA-6 percentile curve 1, RSA-6 percentile curve 2), standard overweight threshold curves, standard obesity threshold curves, and RSA-6 percentile overweight and obesity threshold curves. See also... Figure 6BMI standard curve 1 is the 50th percentile curve in the "Growth Curve of Body Mass Index for Chinese Children and Adolescents Aged 0-18"; BMI standard curve 2 is the 5th, 10th, and 90th percentile curves in the "Growth Curve of Body Mass Index for Chinese Children and Adolescents Aged 0-18"; RSA-6 percentile curve 1 is the 50th percentile curve in the age-adjusted body mass index curve with radius grade 6; RSA-6 percentile curve 2 is the 5th, 10th, and 90th percentile curves in the age-adjusted body mass index curve with radius grade 6; the standard overweight threshold curve and the standard obesity threshold curve are the corresponding overweight and obesity threshold curves in the "Growth Curve of Body Mass Index for Chinese Children and Adolescents Aged 0-18".

[0091] S202, assess the height and weight of the target based on the first and second body mass index percentiles.

[0092] The height and weight assessment method provided in the above embodiments can adjust the evaluation criteria of age-body mass index for children and adolescents with advanced or delayed development, thereby obtaining more accurate evaluation results when evaluating overweight or obesity in children and adolescents, and making the evaluation results of children and adolescents in terms of height and weight more comprehensive.

[0093] See Figure 7 In some embodiments, based on Figure 1 In the illustrated embodiment, the above-described height and weight assessment method may further include: S105, if the accuracy of the height level of the target to be evaluated is level three, and / or the accuracy of the weight level of the target to be evaluated is level three, then intervention information is generated and corresponding intervention information is pushed to the target to be evaluated. The intervention information includes height control guidance information and weight control guidance information. The height control guidance information may include first consultation guidance information, first dietary guidance information, first exercise guidance information, and first rest and work guidance information. The weight control guidance information may include second consultation guidance information, second dietary guidance information, second exercise guidance information, and second rest and work guidance information.

[0094] The height and weight assessment method provided in this application uses a height and weight growth chart adjusted by radius grade, introducing the radius grade as an assessment dimension to evaluate the height and weight of the target. This can effectively verify the accuracy of the height and weight obtained through the standardized height and weight growth curve, avoid making evaluations of children's growth and development that deviate significantly from the actual situation, and thus improve the accuracy of the height and weight assessment results.

[0095] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0096] This application also provides a height and weight growth chart adjusted for radius grade, which includes a standardized height and weight growth curve and a height and weight curve adjusted for radius grade.

[0097] Standardized growth curves for height and weight include both height-standardized growth curves and weight-standardized growth curves.

[0098] The radius grade-adjusted height-weight curve includes the radius grade-adjusted height curve and the radius grade-adjusted weight curve. The radius grade-adjusted height curve is calculated using the sample life-age, sample sex, sample height, and sample radius grade of multiple sample assessment targets. The radius grade-adjusted weight curve is calculated using the sample weight, sample sex, sample life-age, and sample radius grade of multiple sample assessment targets.

[0099] The height curve adjusted by radius grade includes height percentile curves corresponding to multiple radius grades, and the weight curve adjusted by radius grade includes weight percentile curves corresponding to multiple radius grades. The height percentile curves of each radius grade are plotted on the same chart by overlapping with the height-standardized growth curves, and the weight percentile curves of each radius grade are plotted on the same chart by overlapping with the weight-standardized growth curves. The overlapping areas in each chart are different, and the height and weight growth charts adjusted by radius grade include multiple charts.

[0100] The radius grade-adjusted height and weight growth chart in the above embodiments can be used as a tool to improve the accuracy of children's height and weight assessment. In clinical practice, it can be used as an auxiliary tool to evaluate children's height and weight development. It can intuitively observe the impact of developmental level on height or weight assessment results from the chart. Alternatively, it can be used as a computer-aided tool for assessing and analyzing children's height and weight, thereby helping users to manage children's height and weight more accurately.

[0101] Corresponding to the height and weight assessment method described in the above embodiments, Figure 8 A structural block diagram of the height and weight assessment device 800 provided in an embodiment of this application is shown. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0102] See Figure 8 The height and weight assessment device 800 in this embodiment may include an acquisition module 810, a first determination module 820, a second determination module 830, and an assessment module 840.

[0103] The acquisition module 810 is used to acquire the life age, sex, height, weight and radius grade of the target to be evaluated.

[0104] The first determination module 820 is used to determine the radius grade of the target to be evaluated based on the skeletal image.

[0105] The second determining module 830 is used to determine the first height percentile, first weight percentile, second height percentile, and second weight percentile of the target to be evaluated based on age, sex, height, weight, radius grade, and radius grade-adjusted height-weight growth chart; wherein, the radius grade-adjusted height-weight growth chart includes a height-weight standardized growth curve and a radius grade-adjusted height-weight curve.

[0106] The assessment module 840 is used to assess the height and weight of the target based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile.

[0107] Optionally, the height- and weight-standardized growth curves include both height-standardized and weight-standardized growth curves, and the radius-grade-adjusted height- and weight-standardized growth curves include both radius-grade-adjusted height curves and radius-grade-adjusted weight curves. The second determining module 830 is specifically used for: Based on the life age, sex, height, and height-standardized growth curve of the target to be evaluated, determine the first height percentile of the target to be evaluated. Based on the life age, sex, weight, and weight-standardized growth curve of the target to be evaluated, determine the first weight percentile of the target to be evaluated; The second height percentile of the target is determined based on the target's age, sex, height, radius grade, and radius grade-adjusted height curve. The second weight percentile of the target is determined based on the target's age, sex, weight, radius grade, and radius grade-adjusted weight curve.

[0108] Optionally, the evaluation module 840 is specifically used for: The height level of the target to be evaluated is determined based on the first height percentile. Determine the target weight level based on the first weight percentile; Height levels are assessed based on the first and second height percentiles to determine the accuracy of height levels. The weight level is assessed based on the first and second weight percentiles to determine the accuracy of the weight level.

[0109] Furthermore, the evaluation module 840 is specifically used for: If the first height percentile or the second height percentile is less than the first threshold, or if the first height percentile or the second height percentile is greater than the second threshold, then the accuracy of the height level of the target to be evaluated is determined to be level three; wherein the first threshold is less than the second threshold. If the first height percentile and the second height percentile are the same, then the accuracy of determining the height level of the target to be evaluated is height accuracy level one. If the first height percentile and the second height percentile are different, both the first height percentile and the second height percentile are greater than or equal to the first threshold, and both the first height percentile and the second height percentile are less than or equal to the second threshold, then the accuracy of determining the height level of the target to be evaluated is determined to be height accuracy level two. Among them, the accuracy of height accuracy level 1 is higher than that of height accuracy level 2, and the accuracy of height accuracy level 2 is higher than that of height accuracy level 3.

[0110] If the first or second weight percentile is less than the third threshold, or if the first or second weight percentile is greater than the fourth threshold, then the accuracy of the weight level of the target to be evaluated is determined to be level three; wherein the third threshold is less than the fourth threshold. If the first and second weight percentiles are the same, the accuracy of determining the weight level of the target to be evaluated is grade 1. If the first weight percentile and the second weight percentile are different, both the first weight percentile and the second weight percentile are greater than or equal to the third threshold, and both the first weight percentile and the second weight percentile are less than or equal to the fourth threshold, then the accuracy of determining the weight level of the target to be evaluated is weight accuracy level two. Among them, the accuracy of weight accuracy level 1 is higher than that of weight accuracy level 2, and the accuracy of weight accuracy level 2 is higher than that of weight accuracy level 3.

[0111] Optionally, the height and weight assessment device 800 may further include: The intervention module is used to generate intervention information and push corresponding intervention information to the target if the accuracy of the target's height level is level three and / or the accuracy of the target's weight level is level three. The intervention information includes height control guidance information and weight control guidance information. The height control guidance information includes first consultation guidance information, first dietary guidance information, first exercise guidance information, and first rest and work-rest guidance information. The weight control guidance information includes second consultation guidance information, second dietary guidance information, second exercise guidance information, and second rest and work-rest guidance information.

[0112] Optionally, the height and weight assessment device 800 may further include: The chart creation module is used to obtain body data of multiple individual samples, including the sample's age, sex, height, weight, and radius grade. The body data of multiple individual samples were divided into multiple groups with the same radius grade and the same gender. Within each group, based on the age range of the samples, the adjusted height-weight curve corresponding to the radius grade of each sample under each gender is determined; The adjusted height-weight curves and standardized height-weight growth curves corresponding to each radius grade are overlaid on the same chart to obtain the height-weight growth chart adjusted for radius grade.

[0113] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0114] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0115] This application also provides an electronic device, see [link to relevant documentation] Figure 9 The electronic device 900 may include: at least one processor 910, a memory 920, and a computer program stored in the memory 920 and executable on the at least one processor 910. When the processor 910 executes the computer program, it implements the steps in any of the above-described method embodiments, for example... Figure 1 Steps S101 to S104 in the illustrated embodiment. Alternatively, when the processor 910 executes the computer program, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 8 The functions of modules 810 to 840 are shown.

[0116] For example, a computer program may be divided into one or more modules / units, one or more of which are stored in memory 920 and executed by processor 910 to complete this application. The one or more modules / units may be a series of computer program segments capable of performing specific functions, which describe the execution process of the computer program in electronic device 900.

[0117] Those skilled in the art will understand that Figure 9 This is merely an example of an electronic device and does not constitute a limitation on the electronic device. It may include more or fewer components than shown, or combinations of certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0118] The processor 910 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0119] The memory 920 can be an internal storage unit of the electronic device or an external storage device, such as a plug-in hard drive, a smart media card (SMC), a secure digital (SD) card, or a flash card. The memory 920 is used to store the computer program and other programs and data required by the electronic device. The memory 920 can also be used to temporarily store data that has been output or will be output.

[0120] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0121] The height and weight assessment method provided in this application can be applied to electronic devices such as computers, wearable devices, in-vehicle devices, tablets, laptops, netbooks, personal digital assistants (PDAs), augmented reality (AR) / virtual reality (VR) devices, and mobile phones. This application does not impose any restrictions on the specific type of electronic device.

[0122] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various embodiments of the height and weight assessment method.

[0123] This application provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the various embodiments of the height and weight assessment method.

[0124] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a photographic device / electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0125] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0126] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0127] In the embodiments provided in this application, it should be understood that the disclosed apparatus / network devices and methods can be implemented in other ways. For example, the apparatus / network device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0128] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0129] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for assessing height and weight, characterized in that, include: Obtain the lifespan, sex, height, weight, and skeletal images of the target to be evaluated; Based on the skeletal images, the radius grade of the target to be evaluated is determined; Based on the stated age, sex, height, weight, radius grade, and radius grade-adjusted height-weight growth chart, determine the first height percentile, first weight percentile, second height percentile, and second weight percentile of the target to be evaluated; wherein, the radius grade-adjusted height-weight growth chart includes a standardized height-weight growth curve and a radius grade-adjusted height-weight curve. The height and weight of the target to be evaluated are assessed based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile. The height-weight standardized growth curve includes a height-standardized growth curve and a weight-standardized growth curve, and the radius-grade-adjusted height-weight curve includes a radius-grade-adjusted height curve and a radius-grade-adjusted weight curve. The determination of the first height percentile, first weight percentile, second height percentile, and second weight percentile of the target to be evaluated, based on the chronological age, sex, height, weight, radius grade, and a height-weight growth chart adjusted for radius grade, includes: Based on the stated age, sex, height, and height-standardized growth curve, determine the first height percentile of the target to be evaluated; Based on the stated age, sex, weight, and weight-standardized growth curve, determine the first weight percentile of the target to be evaluated; The second height percentile of the target to be evaluated is determined based on the stated age, sex, height, radius grade, and height curve adjusted for radius grade. The second weight percentile of the target to be evaluated is determined based on the life age, sex, weight, radius grade, and the weight curve adjusted for radius grade. The assessment of the height and weight of the target being evaluated based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile includes: The height level of the target to be evaluated is determined based on the first height percentile. The weight level of the target to be evaluated is determined based on the first weight percentile. The height level is assessed based on the first height percentile and the second height percentile to determine the accuracy of the height level; The weight level is assessed based on the first weight percentile and the second weight percentile to determine the accuracy of the weight level; The step of assessing the height level based on the first height percentile and the second height percentile, and determining the accuracy of the height level, includes: If the first height percentile or the second height percentile is less than the first threshold, or if the first height percentile or the second height percentile is greater than the second threshold, then the accuracy of the height level of the target to be evaluated is determined to be level three; wherein the first threshold is less than the second threshold. If the first height percentile and the second height percentile are the same, then the accuracy of the height level of the target to be evaluated is determined to be height accuracy level one. If the first height percentile and the second height percentile are different, both the first height percentile and the second height percentile are greater than or equal to the first threshold, and both the first height percentile and the second height percentile are less than or equal to the second threshold, then the accuracy of the height level of the target to be evaluated is determined to be height accuracy level two. Among them, the accuracy of the first level of height accuracy is higher than that of the second level of height accuracy, and the accuracy of the second level of height accuracy is higher than that of the third level of height accuracy. The step of assessing the weight level based on the first weight percentile and the second weight percentile to determine the accuracy of the weight level includes: If the first weight percentile or the second weight percentile is less than the third threshold, or if the first weight percentile or the second weight percentile is greater than the fourth threshold, then the accuracy of the weight level of the target to be evaluated is determined to be weight accuracy level three; wherein the third threshold is less than the fourth threshold. If the first weight percentile and the second weight percentile are the same, then the accuracy of the weight level of the target to be evaluated is determined to be weight accuracy level one. If the first weight percentile and the second weight percentile are different, both the first weight percentile and the second weight percentile are greater than or equal to the third threshold, and both the first weight percentile and the second weight percentile are less than or equal to the fourth threshold, then the accuracy of the weight level of the target to be evaluated is determined to be weight accuracy level two. The accuracy of weight accuracy level 1 is higher than that of weight accuracy level 2, and the accuracy of weight accuracy level 2 is higher than that of weight accuracy level 3.

2. The height and weight assessment method as described in claim 1, characterized in that, After assessing the height and weight of the target based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile, the method further includes: If the accuracy of the height level of the target to be evaluated is level three, and / or the accuracy of the weight level of the target to be evaluated is level three, then intervention information is generated and corresponding intervention information is pushed to the target to be evaluated. The intervention information includes height control guidance information and weight control guidance information. The height control guidance information includes first consultation guidance information, first dietary guidance information, first exercise guidance information, and first rest and work guidance information. The weight control guidance information includes second consultation guidance information, second dietary guidance information, second exercise guidance information, and second rest and work guidance information.

3. The height and weight assessment method as described in claim 1, characterized in that, Before determining the first height percentile, first weight percentile, second height percentile, and second weight percentile of the target to be evaluated using a height-weight growth chart adjusted for the chronological age, height, weight, and radius grade, the method further includes: Obtain body data from multiple individual samples, including sample age, sample sex, sample height, sample weight, and sample radius grade; The body data of the multiple sample individuals were divided into multiple groups with the same radius grade and the same gender. Within each group, based on the age range of the samples, the adjusted height-weight curve corresponding to the radius grade of each sample under each gender is determined; The adjusted height and weight curves corresponding to each radius grade and the standardized height and weight growth curves are superimposed on the same chart to obtain the height and weight growth chart adjusted for the radius grade.

4. The height and weight assessment method as described in claim 1, characterized in that, After determining the radius grade of the target to be evaluated based on the skeletal image, the method further includes: Based on the stated age, sex, height, weight, radius grade, and radius grade-adjusted age-based body mass index (BMI) growth chart, determine the first and second BMI percentiles of the target to be evaluated; wherein, the radius grade-adjusted age-based BMI growth chart includes a standard growth curve of body mass index and a radius grade-adjusted age-based BMI curve. The height and weight of the target to be evaluated are assessed based on the first and second body mass index percentiles.

5. A height and weight assessment device for implementing the height and weight assessment method as described in any one of claims 1-4, characterized in that, include: The acquisition module is used to obtain the target's age, sex, height, weight, and radius grade. The first determining module is used to determine the radius grade of the target to be evaluated based on the skeletal image; The second determining module is used to determine the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile of the target to be evaluated based on the life age, the gender, the height, the weight, the radius grade, and the radius grade-adjusted height-weight growth chart; wherein the radius grade-adjusted height-weight growth chart includes a height-weight standardized growth curve and a radius grade-adjusted height-weight curve. The evaluation module is used to evaluate the height and weight of the target to be evaluated based on the first height percentile, the first weight percentile, the second height percentile, and the second weight percentile.

6. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 4.

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