Obstetrical data analysis and management system based on cloud computing processing

Abstract

The invention discloses an obstetrical data analysis and management system based on cloud computing processing, and relates to the technical field of obstetrical data analysis and management, a data acquisition module is used for acquiring and recording current detection data of a pregnant woman and a fetus, a calculation and analysis module is used for calculating and outputting a fetus weight estimated value TE, a pregnant woman weight gain value YT and a nutrition adjustment value TQ, and the fetus weight estimated value TE, the pregnant woman weight gain value YT and the nutrition adjustment value TQ are analyzed. The regular spot check evaluation unit is used for regularly carrying out spot check on the pregnant woman subjected to current recent antenatal care, and carrying out updating calculation on a fetus weight growth reference value delta TT and a pregnant woman weight growth reference value delta YL of each week in different pregnancy periods according to age groups; large-scale data sets are efficiently processed by means of the high-performance computing power of the cloud computing platform and a computing formula, the working efficiency of obstetrical data analysis is improved, flexible adjustment is performed according to parameters corresponding to different pregnant woman age groups and pregnant periods, the corresponding parameters have a regular updating mechanism and a formed feedback mechanism, and the accuracy of the pregnant woman data analysis is improved. And the fitness and the accuracy of analysis data are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of obstetric data analysis and management, and in particular to an obstetric data analysis and management system based on cloud computing processing. Background Art

[0002] Cloud computing is a distributed computing technology that breaks down huge data computing programs into countless small programs, which are then processed and analyzed through a system composed of multiple servers, and ultimately the results are returned to users. The key technologies of cloud computing include virtualization, distributed file systems, distributed databases, resource management technology, energy management technology, and information security. These technologies together form a strong foundation for cloud computing, enabling it to efficiently process and analyze massive amounts of obstetric data. With the continuous advancement of medical technology and the widespread application of cloud computing technology, obstetric data analysis and management systems have gradually become an important means to improve the quality and efficiency of medical services.

[0003] Although the existing obstetric data analysis and management systems have improved the efficiency and quality of medical services to a certain extent, there are still some problems and shortcomings. Specifically, the existing obstetric data analysis and management systems are often set based on fixed values ​​and ranges, and lack the ability to flexibly adjust according to individual circumstances. This will lead to inaccurate analysis results and fail to meet the needs of personalized medical care. In addition, the existing obstetric data analysis and management systems can often only perform analysis after data collection is completed, and lack a real-time feedback mechanism, which makes it impossible for doctors to obtain the latest analysis results in a timely manner and thus adjust treatment plans in a timely manner. After data collection is completed, most doctors will make general suggestions based on their own experience and test data, and cannot provide accurate and effective data reference opinions, thus failing to achieve intuitive and accurate data adjustments. Summary of the invention

[0004] The purpose of the present invention is to provide an obstetric data analysis and management system based on cloud computing processing, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step 1: Use the data collection module to collect and record the current test data of the pregnant woman and fetus, extract the historical data of the last prenatal examination, and upload it to the cloud computing platform of the obstetric data analysis and management system; Step 2: Use the calculation and analysis module to calculate and output the estimated fetal weight TE, the maternal weight gain YT and the nutritional adjustment value TQ; The calculation and analysis module includes a regular sampling evaluation unit, a fetal growth evaluation unit, a pregnant woman's weight gain evaluation unit, and a pregnant woman's nutritional intake adjustment unit; The regular sampling evaluation unit regularly performs sampling on pregnant women who are currently undergoing prenatal examinations, and updates and calculates the reference value ΔTT of fetal weight gain per week and the benchmark value ΔYL of maternal weight gain in different gestational cycles by age group; Step 3: Use the analysis interaction module to analyze and display the results based on the nutritional adjustment value TQ.

[0006] Optionally, the equipment used by the data acquisition module includes ultrasonic inspection equipment and data acquisition equipment; The equipment used by the computing and analysis module includes cloud computing platform equipment; The equipment used by the analysis and interaction module includes a computer.

[0007] Optionally, the regular sampling and evaluation unit performs regular sampling and divides the pregnant women into the following age groups: 20-24 years old, 25-29 years old, 30-34 years old, 35 years old and above, and divides the pregnancy period of pregnant women in each age group into early pregnancy (1-12 weeks), mid-pregnancy (13-27 weeks) and late pregnancy (28 weeks and above); Based on the age group and gestational period of the pregnant women, the obstetric data analysis and management system automatically classifies the pregnant women currently undergoing prenatal examination into the corresponding age group and gestational period of the pregnant women, and the corresponding weekly fetal weight gain reference value ΔTT and maternal weight gain benchmark value ΔYL are calculated and stored for the corresponding age group and gestational period of the pregnant women; The calculation formula of the reference value ΔTT of fetal weight gain per week is as follows: ; ; ΔTTC i The difference in fetal weight gain per week; TT thie week,i is the current weight of the i-th fetus; TT last week,i is the weight of the ith fetus last week; i is 1, 2, 3...; n is the total number of pregnant women sampled; The calculation formula of the benchmark value ΔYL of the weight gain of pregnant women is as follows: ; ; ΔYLC i The difference in maternal weight gain per week; YL thie week,i is the current weight of the i-th pregnant woman; YL last week,i is the weight of the i-th pregnant woman last week; Among them, the weekly reference value of fetal weight gain ΔTT and the benchmark value of maternal weight gain ΔYL for the same maternal age group and gestational period are extracted from the same set of data.

[0008] Optionally, the calculation formula of the fetal growth assessment unit is as follows: ; in: TE is the estimated fetal weight; T is head circumference; F is abdominal circumference; G is the femur length; DG is the length of the femur; The measurement results of head circumference T, abdominal circumference F, femur length G and thigh bone length DG are all presented in centimeters. Dividing by 100 is to convert the results of head circumference T, abdominal circumference F, femur length G and thigh bone length DG into radius in meters; π is the ratio of the circumference of a circle, which is 3.14159; π / 3 and π / 4 are estimated by simplifying the fetal body into a combination of an ellipsoid and a cylinder.

[0009] Optionally, the calculation formula of the unit for assessing the weight gain of pregnant women is as follows: ; in: YT is the maternal weight gain; TE laet Estimated fetal weight at the last measurement; YZ is the current gestational age; YZ laet The last gestational age measured; Estimated fetal weight at last measurement TE laet and the last gestational age measurement YZ laet Reflects the historical data of the last prenatal checkup for the same pregnant woman; ΔTT is the reference value for weekly fetal weight gain.

[0010] Optionally, the calculation formula for adjusting the nutrient intake unit for pregnant women is as follows: ; in: TQ is the nutritionally adjusted value; ΔYL is the baseline value of maternal weight gain; S is the current daily calorie intake; TZ is pre-pregnancy weight; DS is the daily protein requirement, and ZS is the daily fat requirement.

[0011] Optionally, the obstetric data analysis and management system automatically generates the nutritional adjustment value TQ currently required by the pregnant woman undergoing prenatal examination, and the specific analysis is as follows: If the nutritional adjustment value TQ is higher than the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is insufficient, the fetus grows fast, and the pregnant woman is undernourished; If the nutritional adjustment value TQ is lower than the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is too much, the fetus grows slowly, and the pregnant woman has excessive nutrition; If the nutritional adjustment value TQ is equal to the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is moderate and the weight growth of the fetus and pregnant woman is in a stable state.

[0012] Optionally, the adjustment of the nutrition adjustment value TQ directly affects the head circumference T, abdominal circumference F, femur length G, thigh bone length DG, and current daily calorie intake S that are fed back to the next prenatal checkup, and the specific impacts are as follows: If the nutritional adjustment value TQ shows an increase, the values ​​of head circumference T, abdominal circumference F, femur length G, and thigh bone length DG at the next prenatal check-up will tend to be flat, and the current daily calorie intake S will increase; If the nutritional adjustment value TQ shows a decrease, the head circumference T, abdominal circumference F, femur length G, and thigh bone length DG values ​​of the next prenatal check-up will increase, and the current daily calorie intake S value will decrease; If the nutritional adjustment value TQ remains unchanged, the values ​​of head circumference T, abdominal circumference F, femur length G, thigh bone length DG and current daily calorie intake S at the next prenatal check-up will tend to be flat; Optionally, the ultrasonic examination device output provides head circumference T, abdominal circumference F, femur length G and thigh bone length DG; The data acquisition device output provides the pre-pregnancy weight TZ.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention makes use of the high-performance computing capabilities of the cloud computing platform and the coordinated use of a unit for evaluating fetal growth, a unit for evaluating pregnant woman's weight gain, and a unit for adjusting pregnant woman's nutritional intake, so that the obstetric data analysis and management system can efficiently process large-scale data sets, which greatly shortens the time for data analysis and improves the work efficiency of obstetric data analysis. The obstetric data analysis and management system fully utilizes the advantages of cloud computing technology to realize centralized storage, management and analysis of data, which reduces the risk of data loss and leakage, thereby improving the security and reliability of data.

[0014] 2. The obstetric data analysis and management system of the present invention can flexibly adjust the parameters in the unit for evaluating the weight gain of pregnant women and the unit for adjusting the nutritional intake of pregnant women according to the weekly fetal weight gain reference value ΔTT and the pregnant woman's weight gain benchmark value ΔYL corresponding to different pregnant women's age groups and gestational periods, and the regular update calculation of this group of corresponding data can also greatly ensure the consistency of the weekly fetal weight gain reference value ΔTT and the pregnant woman's weight gain benchmark value ΔYL with the current test data, which makes the analysis results more accurate and more in line with the needs of personalized obstetric data analysis.

[0015] 3. The obstetric data analysis and management system of the present invention realizes real-time data uploading and analysis through the cloud computing platform, and then obtains the latest nutritional adjustment value TQ, which effectively avoids the doctor's manual empirical suggestions, but outputs targeted and intuitive adjustment data based on the current test data and historical data of the pregnant woman, so that the adjustment data output of each prenatal examination result is closely related, which improves the correlation of the data and achieves the effect of feedback loop. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a method flow chart of the obstetric data analysis and management system based on cloud computing; Figure 2 It is a structural schematic diagram of the calculation and analysis module of the present invention; Figure 3 It is a schematic diagram of the overall calculation and updating structure of the reference value ΔTT of fetal weight gain per week and the benchmark value ΔYL of maternal weight gain for different maternal age groups and gestational periods in the present invention; Figure 4 It is a schematic diagram of the flow chart of the impact feedback of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] This obstetric data analysis and management system based on cloud computing is different from existing obstetric data analysis and management systems. Existing obstetric data analysis and management systems are often set based on fixed values ​​and ranges, lack the ability to flexibly adjust according to individual circumstances, and lack real-time acquisition of intuitive data and feedback mechanisms. This algorithm unit uses the high-performance computing capabilities and calculation formulas of the cloud computing platform to efficiently process large-scale data sets, improve the work efficiency of obstetric data analysis, and flexibly adjust the parameters corresponding to different pregnant age groups and pregnant women's gestation periods. The corresponding parameters have a regular update mechanism and a feedback mechanism to ensure the fit and accuracy of the analysis data.

[0019] For example, see Figures 1 to 4 This implementation provides an obstetric data analysis and management system based on cloud computing. The specific implementation steps are as follows: Step 1: Use the data collection module to collect and record the current test data of the pregnant woman and fetus, extract the historical data of the last prenatal examination, and upload it to the cloud computing platform of the obstetric data analysis and management system; Step 2: Use the calculation and analysis module to calculate and output the estimated fetal weight TE, the maternal weight gain YT and the nutritional adjustment value TQ; The calculation and analysis module includes a regular sampling evaluation unit, a fetal growth evaluation unit, a pregnant woman's weight gain evaluation unit, and a pregnant woman's nutritional intake adjustment unit. The regular sampling assessment unit regularly conducts sampling of pregnant women who have undergone recent prenatal checkups, and updates and calculates the reference value of weekly fetal weight gain ΔTT and the benchmark value of maternal weight gain ΔYL for different gestational periods by age group; Step 3: Use the analysis interaction module to analyze and display the results based on the nutritional adjustment value TQ; The equipment used in the data acquisition module includes ultrasonic inspection equipment and data acquisition equipment; The equipment used in the computing and analysis module includes cloud computing platform equipment; The equipment used in the analysis and interaction module includes computers; The output of the ultrasound examination equipment provides head circumference T, abdominal circumference F, femur length G, and thighbone length DG; The data acquisition device output provides the pre-pregnancy weight TZ.

[0020] In this embodiment, the system forms a complete and scientific evaluation and adjustment system through the mutual cooperation of three algorithm units TE. Combining the three operation results of TE, YT and TQ, it can accurately evaluate the growth and development of the fetus and the weight gain of the pregnant woman, and provide more personalized adjustment guidance for pregnant women. TE is the estimated value of the fetal weight, which helps to evaluate the growth of the fetus in obstetric data analysis, and specifically judges whether there is growth restriction and overgrowth. YT is the weight gain value of the pregnant woman, which judges whether the weight gain of the pregnant woman meets expectations in obstetric data analysis, whether there is a problem of too fast or too slow, so as to guide the pregnant woman to make adjustments to maintain healthy weight gain. TQ is the nutritional adjustment value, which helps pregnant women understand whether they need to increase or decrease their nutrient intake in obstetric data analysis, and by adjusting the nutritional adjustment value TQ, maintain a steady weight gain, reduce the risk of complications during pregnancy, and promote the healthy growth of the fetus. After the calculation result of TQ replaces the TQ of the previous prenatal examination, a feedback mechanism is achieved, which in turn affects the calculation of TE and YT fed back to the next prenatal examination.

[0021] See also Figures 1 to 4 , regular sampling and assessment units are regularly sampled and divided into the following age groups for pregnant women: 20-24 years old, 25-29 years old, 30-34 years old, 35 years old and above, and the pregnancy period of pregnant women of each age group is divided into early pregnancy (1-12 weeks), mid-pregnancy (13-27 weeks) and late pregnancy (28 weeks and above); Based on the age group and gestational period of the pregnant women, the obstetric data analysis and management system automatically classifies the pregnant women currently undergoing prenatal examination into the corresponding age group and gestational period of the pregnant women, and the corresponding weekly fetal weight gain reference value ΔTT and maternal weight gain benchmark value ΔYL are calculated and stored for the corresponding age group and gestational period of the pregnant women; The calculation formula for the reference value of fetal weight gain per week ΔTT is as follows: ; ; ΔTTC i The difference in fetal weight gain per week; TT thie week,i is the current weight of the i-th fetus; TT last week,i is the weight of the ith fetus last week; i is 1, 2, 3...; n is the total number of pregnant women sampled; The calculation formula for the benchmark value of pregnant women's weight gain ΔYL is as follows: ; ; ΔYLCi The difference in maternal weight gain per week; YL thie week,i is the current weight of the i-th pregnant woman; YL last week,i is the weight of the i-th pregnant woman last week; Among them, the weekly reference value of fetal weight gain ΔTT and the benchmark value of maternal weight gain ΔYL for the same maternal age group and gestational period are extracted from the same set of data.

[0022] In this embodiment: First, the algorithm unit uses the regular sampling evaluation unit to regularly sample multiple groups of sampling data corresponding to the pregnancy cycle of different pregnant women of different age groups. as well as By calculation, multiple groups of weekly fetal weight gain reference values ​​ΔTT and maternal weight gain benchmark values ​​ΔYL corresponding to age groups and cycles are obtained. When the obstetric data analysis and management system detects and analyzes the current pregnant woman's data, the weekly fetal weight gain reference values ​​ΔTT and maternal weight gain benchmark values ​​ΔYL corresponding to the age group and gestational age of the current pregnant woman will be extracted as input values ​​for subsequent data analysis; This algorithm unit uses a set periodic update mechanism to ensure that each group of weekly fetal weight gain reference value ΔTT and maternal weight gain baseline value ΔYL are timely and relevant, avoiding the phenomenon of large differences with the current pregnant woman's test data due to the fixed nature of the data, thereby improving the timeliness and accuracy of the obstetric data analysis management system's test and analysis data.

[0023] See also Figures 1 to 4 , the calculation formula for the unit for assessing fetal growth is as follows: ; in: TE is the estimated fetal weight; T is head circumference; F is abdominal circumference; G is the femur length; DG is the length of the femur; The measurement results of head circumference T, abdominal circumference F, femur length G and thigh bone length DG are all presented in centimeters. Dividing by 100 is to convert the results of head circumference T, abdominal circumference F, femur length G and thigh bone length DG into radius in meters; π is the ratio of the circumference of a circle, which is 3.14159; π / 3 and π / 4 are estimated by simplifying the fetal body into a combination of an ellipsoid and a cylinder.

[0024] In this embodiment, first, the calculation of "T / 100", "F / 100", and "G / 100" is to convert the head circumference T, abdominal circumference F, and femur length G from centimeters to meters, because the subsequent calculation involves the area calculation related to pi π, and in physics, the area formula of a circle is πr², where r is the radius in meters. Therefore, the head circumference T, abdominal circumference F, and femur length G are divided by 100 respectively in order to convert them into radii in meters. The conversion of units is convenient for subsequent area calculations, thereby estimating the fetal weight more accurately and improving the accuracy of the calculation. When calculating "(DG / 10)×(DG / 10)", the femur length DG is converted from centimeters to meters and squared. Here, the body part of the fetus is simplified into a cylinder for estimation. DG / 10 is the radius of the cylinder, and the square is used to calculate the bottom area of ​​the cylinder. This algorithm unit uses ultrasonic measurement to obtain accurate head circumference T, abdominal circumference F, femur length G and thigh bone length DG. Combined with scientific calculation formulas, it can estimate the weight of the fetus more accurately, which helps the obstetric data analysis and management system to analyze and judge the growth and development of the fetus. As the gestational age increases, the weight of the fetus will change, and the fetal growth assessment unit can quickly calculate the weight of the fetus during each examination, thereby monitoring the growth of the fetus in a timely manner.

[0025] See also Figures 1 to 4 , the calculation formula for the unit for evaluating the weight gain of pregnant women is as follows: ; in: YT is the maternal weight gain; TE laet Estimated fetal weight at the last measurement; YZ is the current gestational age; YZ laet The last gestational age measured; Estimated fetal weight at last measurement TE laet and the last gestational age measurement YZ laet Reflects the historical data of the last prenatal checkup for the same pregnant woman; ΔTT is the reference value for weekly fetal weight gain.

[0026] In this embodiment, the algorithm unit is first based on The calculation part calculates the increase in fetal weight Gestational age increase The ratio of the fetal weight gain to the gestational age gain can be used to evaluate whether the fetal weight gain matches the gestational age gain, that is, to determine whether the maternal weight gain is reasonable. This helps the obstetric data analysis management system to determine and analyze the maternal weight gain. The calculation formula adds an adjustment item to the reference value of weekly fetal weight growth ΔTT. This adjustment item makes the assessment more precise by introducing head circumference T as an adjustment factor. Head circumference T is closely related to fetal size, which in turn reflects the growth and development of the fetus. It improves the accuracy of the assessment and makes the assessment results more in line with the actual situation. At the same time, it also takes into account the differences between different fetuses. In this algorithm unit, by comparing the estimated fetal weights of two examinations, the obstetric data analysis and management system can dynamically monitor the weight gain of pregnant women and promptly detect problems of excessive or slow weight gain.

[0027] See also Figures 1 to 4 , the calculation formula for adjusting the nutrient intake unit for pregnant women is as follows: ; in: TQ is the nutritionally adjusted value; ΔYL is the baseline value of maternal weight gain; S is the current daily calorie intake; TZ is pre-pregnancy weight; DS is the daily protein requirement, and ZS is the daily fat requirement.

[0028] In this embodiment, the algorithm unit is based on The calculation formula calculates the difference between the actual maternal weight gain value YT and the maternal weight gain benchmark value ΔYL, and then multiplies it by the ratio of the current maternal daily calorie intake S to the pre-pregnancy weight TZ. According to the evaluation results of the rationality of weight gain, the calorie intake of the pregnant woman is adjusted. If the actual maternal weight gain value YT is higher than the maternal weight gain benchmark value ΔYL, it is recommended to reduce calorie intake. Otherwise, it is recommended to increase calorie intake. The calculations here provide personalized nutritional adjustment recommendations to help pregnant women better manage weight gain during pregnancy; The calculation part converts the current estimated fetal weight TE from grams to kilograms (divided by 1000), then calculates its square root, and then multiplies it by the daily protein requirement DS. Then, according to the growth of the fetal weight, the protein intake of the pregnant woman is adjusted. Protein is one of the nutrients necessary for the growth and development of the fetus. This ensures that the pregnant woman can get enough protein intake during pregnancy to support the growth and development of the fetus. The calculation part calculates the product of the daily fat requirement ZS and 1 minus half of the weight gain value YT of the pregnant woman, and then adjusts the fat intake of the pregnant woman according to the evaluation result of the rationality of weight gain. If the weight gain is fast, it is recommended to reduce fat intake. On the contrary, fat intake can be appropriately increased. This will help pregnant women better control fat intake during pregnancy and avoid too fast or too slow weight gain; The unit on adjusting the nutritional intake of pregnant women provides scientific nutritional adjustment suggestions for pregnant women, helps them to arrange their diet reasonably to meet the needs of fetal growth and development, and by adjusting the nutritional intake nutritional adjustment value TQ, it can improve the weight gain of pregnant women, thereby indirectly affecting the growth and development of the fetus. Reasonable nutritional intake helps the fetus grow healthily and reduces the risk of complications.

[0029] For example 2, please refer to Figures 1 to 4 , the obstetric data analysis and management system automatically generates the nutritional adjustment value TQ currently required by the pregnant women during prenatal examination. The specific analysis is as follows: If the nutritional adjustment value TQ is higher than the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is insufficient, the fetus grows fast, and the pregnant woman is undernourished; If the nutritional adjustment value TQ is lower than the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is too much, the fetus grows slowly, and the pregnant woman has excessive nutrition; If the nutritional adjustment value TQ is equal to the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is moderate, and the weight growth of the fetus and pregnant woman is in a stable state; The adjustment of the nutritional adjustment value TQ directly affects the head circumference T, abdominal circumference F, femur length G, thigh bone length DG, and current daily calorie intake S that are fed back to the next prenatal checkup. The specific impacts are as follows: If the nutritional adjustment value TQ shows an increase, the values ​​of head circumference T, abdominal circumference F, femur length G, and thigh bone length DG at the next prenatal check-up will tend to be flat, and the current daily calorie intake S will increase; If the nutritional adjustment value TQ shows a decrease, the head circumference T, abdominal circumference F, femur length G, and thigh bone length DG values ​​of the next prenatal check-up will increase, and the current daily calorie intake S value will decrease; If the nutritional adjustment value TQ remains unchanged, the values ​​of head circumference T, abdominal circumference F, femur length G, thigh bone length DG and current daily calorie intake S at the next prenatal check-up will tend to be stable.

[0030] In this embodiment, the nutrition adjustment value TQ itself is the object to be replaced, so it is directly affected by the new value. The new nutrition adjustment value TQ will serve as the basis for adjusting the diet plan of the pregnant woman. Although the parameters in the unit for evaluating the growth of the fetus itself are not directly affected by the replacement of the nutrition adjustment value TQ, the diet change of the pregnant woman based on the nutrition adjustment value TQ will affect the growth rate of the fetus, and further affect the measured values ​​of these parameters. For example, if the pregnant woman increases the protein intake according to the new nutrition adjustment value TQ, it will promote the growth of the fetus, resulting in an increase in the head circumference T and the abdominal circumference F. The parameters in the unit for assessing maternal weight gain are also not directly affected by the replacement of the nutritional adjustment value TQ. However, the weight gain of pregnant women will change due to dietary changes. If pregnant women adjust their diet according to the new nutritional adjustment value TQ, it will lead to changes in the weight growth rate, which will in turn affect the value of maternal weight gain YT, especially the estimated fetal weight TE and the estimated fetal weight TE measured last time. laet , they serve as estimates of fetal weight and are updated as maternal diet changes and fetal growth rate changes; Specifically, after replacing the previous nutritional adjustment recommendation TQ with the current nutritional adjustment recommendation TQ during pregnancy, the most direct impact is to adjust the nutritional adjustment value TQ parameter itself in the unit of pregnant women's nutritional intake. However, this replacement also indirectly affects the parameters in the unit for assessing fetal growth and the unit for assessing pregnant women's weight gain through changes in pregnant women's diet and the feedback mechanism of fetal growth and development. These impacts may include changes in fetal growth rate, changes in maternal weight growth rate, and adjustments to pregnant women's calorie intake. Therefore, when making nutritional adjustments during pregnancy, the impact of these factors should be comprehensively considered to ensure the health of pregnant women and fetuses, and further ensure the accuracy of the analysis data. Adjust the nutrition adjustment suggestions given in the nutrition intake unit for pregnant women - nutrition adjustment value TQ, so that pregnant women can improve their own nutrition status according to nutrition adjustment value TQ and analysis results, and provide a better growth environment for the fetus. Specifically, reasonable nutrition intake is conducive to the healthy growth of the fetus and improves the accuracy of the estimated fetal weight TE. When the nutrition status of pregnant women is improved, the growth and development of the fetus will also be affected, resulting in changes in the estimated fetal weight TE in the unit for assessing fetal growth. By adjusting the nutrition intake unit for pregnant women, the nutrition status of pregnant women is improved, the growth and development of the fetus is promoted, and the accuracy of fetal weight estimation in the unit for assessing fetal growth is improved. This virtuous circle helps doctors better monitor the growth and development of the fetus and provide more accurate medical guidance for pregnant women. In summary, the unit for assessing fetal growth, the unit for assessing pregnant women's weight gain, and the unit for adjusting pregnant women's nutritional intake each play an important role in the obstetric data analysis and management system. Together, they constitute a complete and scientific assessment and adjustment system. Through this system, the obstetric data analysis and management system can more accurately assess the growth and development of the fetus and the rationality of the pregnant women's weight gain, and provide pregnant women with more personalized and accurate data analysis guidance.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The obstetric data analysis and management system based on cloud computing processing is characterized by: The specific implementation steps are as follows: Step 1: Use the data collection module to collect and record the current test data of the pregnant woman and fetus, extract the historical data of the last prenatal examination, and upload it to the cloud computing platform of the obstetric data analysis and management system; Step 2: Use the calculation and analysis module to calculate and output the estimated fetal weight TE, the maternal weight gain YT and the nutritional adjustment value TQ; The calculation and analysis module includes a regular sampling evaluation unit, a fetal growth evaluation unit, a pregnant woman's weight gain evaluation unit, and a pregnant woman's nutritional intake adjustment unit; The regular sampling evaluation unit regularly performs sampling on pregnant women who are currently undergoing prenatal examinations, and updates and calculates the reference value ΔTT of fetal weight gain per week and the benchmark value ΔYL of maternal weight gain in different gestational cycles by age group; Step 3: Use the analysis interaction module to analyze and display the results based on the nutritional adjustment value TQ.

2. The obstetric data analysis and management system based on cloud computing processing according to claim 1 is characterized in that: The equipment used by the data acquisition module includes ultrasonic inspection equipment and data acquisition equipment; The equipment used by the computing and analysis module includes cloud computing platform equipment; The equipment used by the analysis and interaction module includes a computer.

3. The obstetric data analysis and management system based on cloud computing processing according to claim 2 is characterized in that: The regular sampling and evaluation unit conducts regular sampling and divides pregnant women into age groups: 20-24 years old, 25-29 years old, 30-34 years old, 35 years old and above, and divides the pregnancy period of pregnant women in each age group into early pregnancy (1-12 weeks), mid-pregnancy (13-27 weeks) and late pregnancy (28 weeks and above); Based on the age group and gestational period of the pregnant women, the obstetric data analysis and management system automatically classifies the pregnant women currently undergoing prenatal examination into the corresponding age group and gestational period of the pregnant women, and the corresponding weekly fetal weight gain reference value ΔTT and maternal weight gain benchmark value ΔYL are calculated and stored for the corresponding age group and gestational period of the pregnant women; The calculation formula of the reference value ΔTT of fetal weight gain per week is as follows: ； ； ΔTTC i The difference in fetal weight gain per week; TT thie week,i is the current weight of the i-th fetus; TT last week,i is the weight of the ith fetus last week; i is 1, 2, 3...; n is the total number of pregnant women sampled; The calculation formula of the benchmark value ΔYL of pregnant women's weight gain is as follows: ； ； ΔYLC i The difference in maternal weight gain per week; YL thie week,i is the current weight of the i-th pregnant woman; YL last week,i is the weight of the i-th pregnant woman last week; Among them, the weekly reference value of fetal weight gain ΔTT and the benchmark value of maternal weight gain ΔYL for the same maternal age group and gestational period are extracted from the same set of data.

4. The obstetric data analysis and management system based on cloud computing processing according to claim 3 is characterized by: The calculation formula of the fetal growth assessment unit is as follows: ； in: TE is the estimated fetal weight; T is head circumference; F is abdominal circumference; G is the femur length; DG is the length of the femur; The measurement results of head circumference T, abdominal circumference F, femur length G and thigh bone length DG are all presented in centimeters. Dividing by 100 is to convert the results of head circumference T, abdominal circumference F, femur length G and thigh bone length DG into radius in meters; π is the ratio of the circumference of a circle, which is 3.14159; π / 3 and π / 4 are estimated by simplifying the fetal body into a combination of an ellipsoid and a cylinder.

5. The obstetric data analysis and management system based on cloud computing processing according to claim 4 is characterized in that: The calculation formula for the unit for evaluating the weight gain of pregnant women is as follows: ； in: YT is the maternal weight gain; TE laet Estimated fetal weight at the last measurement; YZ is the current gestational age; YZ laet The last gestational age measured; Estimated fetal weight at last measurement TE laet and the last gestational age measurement YZ laet Reflects the historical data of the last prenatal checkup for the same pregnant woman; ΔTT is the reference value for weekly fetal weight gain.

6. The obstetric data analysis and management system based on cloud computing processing according to claim 5 is characterized in that: The calculation formula for adjusting the nutrient intake unit for pregnant women is as follows: ； in: TQ is the nutritionally adjusted value; ΔYL is the baseline value of maternal weight gain; S is the current daily calorie intake; TZ is pre-pregnancy weight; DS is the daily protein requirement, and ZS is the daily fat requirement.

7. The obstetric data analysis and management system based on cloud computing processing according to claim 6 is characterized in that: The obstetric data analysis and management system automatically generates the nutritional adjustment value TQ currently required by the pregnant women undergoing prenatal examinations. The specific analysis is as follows: If the nutritional adjustment value TQ is higher than the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is insufficient, the fetus grows fast, and the pregnant woman is undernourished; If the nutritional adjustment value TQ is lower than the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is too much, the fetus grows slowly, and the pregnant woman has excessive nutrition; If the nutritional adjustment value TQ is equal to the nutritional adjustment value TQ measured last time, it reflects that the intake of the nutritional adjustment value TQ measured last time is moderate and the weight growth of the fetus and pregnant woman is in a stable state.

8. The obstetric data analysis and management system based on cloud computing processing according to claim 7 is characterized in that: The adjustment of the nutritional adjustment value TQ directly affects the head circumference T, abdominal circumference F, femur length G, thigh bone length DG, and current daily calorie intake S that are fed back to the next prenatal checkup. The specific impacts are as follows: If the nutritional adjustment value TQ shows an increase, the values ​​of head circumference T, abdominal circumference F, femur length G, and thigh bone length DG at the next prenatal check-up will tend to be flat, and the current daily calorie intake S will increase; If the nutritional adjustment value TQ shows a decrease, the head circumference T, abdominal circumference F, femur length G, and thigh bone length DG values ​​of the next prenatal check-up will increase, and the current daily calorie intake S value will decrease; If the nutritional adjustment value TQ remains unchanged, the values ​​of head circumference T, abdominal circumference F, femur length G, thigh bone length DG and current daily calorie intake S at the next prenatal check-up will tend to be stable.

9. The obstetric data analysis and management system based on cloud computing processing according to claim 2, characterized in that: The output of the ultrasonic examination device provides head circumference T, abdominal circumference F, femur length G and thigh bone length DG; The data acquisition device output provides the pre-pregnancy weight TZ.

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