Pregnancy test item processing method, device, computer equipment and storage medium

Abstract

The present application relates to the field of big data technology, and in particular to a method, device, computer equipment and storage medium for processing pregnancy test items. The method includes: obtaining the basic data and pregnancy test data of the pregnant woman; inputting the basic data and pregnancy test data into the pregnancy test item recommendation model, so as to obtain the current conventional items corresponding to the basic data and the current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model; performing conflict item detection on the current unconventional items, and if there are conflict items in the current unconventional items, respectively calculating the recommended reference values ​​corresponding to the conflict items; screening the conflict items according to the recommended reference values, and generating a pregnancy test item set according to the screened conflict items, the current unconventional items without conflicts and the current conventional items; sending the pregnancy test item set to the pregnant woman terminal corresponding to the basic data. The use of this method can ensure the accuracy of project push.

Description

Technical Field

[0001] The present application relates to the technical field of big data processing, and in particular to a method, device, computer equipment and storage medium for processing pregnancy test items. Background Art

[0002] With the development of Internet technology, hospitals have successively installed information management systems such as hospital information systems, laboratory information management systems, medical image archiving and communication systems, and radiology information management systems. These information management systems manage different inspection items respectively, realizing intelligent, automated and standardized management, which helps to improve the overall management level, reduce loopholes, and improve inspection quality.

[0003] Among them, the hospital's online registration and appointment service has been widely used and accepted by the public, which not only saves patients' medical treatment time, but also makes effective use of doctor resources. However, this type of application is currently mainly used in general outpatient treatment services, and issues related to pregnancy test services and special examination project appointments have not been paid attention to and solved. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for processing pregnancy test items that can provide pregnancy test item recommendations for pregnant women in response to the above technical problems.

[0005] A method for processing pregnancy test items, the method comprising:

[0006] Obtain basic data of pregnant women and pregnancy test data;

[0007] Inputting the basic data and the pregnancy test data into a pregnancy test item recommendation model, so as to obtain current routine items corresponding to the basic data and current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model;

[0008] Perform conflicting item detection on the current unconventional items, and when there are conflicting items in the current unconventional items, respectively calculate the recommended reference values ​​corresponding to the conflicting items;

[0009] The conflicting items are screened according to the recommended reference values, and a pregnancy test item set is generated according to the screened conflicting items, current non-conventional items without conflicts, and the current conventional items;

[0010] The pregnancy test item set is sent to the pregnant woman's terminal corresponding to the basic data.

[0011] In one embodiment, the method for generating the pregnancy test item recommendation model includes:

[0012] Obtaining the antenatal examination data of the pregnant woman, each piece of the antenatal examination data includes historical basic data, historical pregnancy examination data and corresponding historical examination items;

[0013] Extracting historical gestational age data from the historical basic data, and classifying the historical pregnancy examination data according to the historical gestational age data;

[0014] Identify the historical routine items corresponding to the historical pregnancy examination data classified in each gestational week, and extract historical non-routine items from the historical examination items according to the historical routine items;

[0015] Querying the preset labels corresponding to the historical unconventional items, and obtaining the historical unconventional items under each gestational week classification corresponding to the preset labels;

[0016] An association relationship between the preset label, the gestational age classification under the preset label, and the historical unconventional items under the gestational age classification is established to obtain a pregnancy test item recommendation model.

[0017] In one embodiment, the inputting the basic data and the pregnancy test data into a pregnancy test item recommendation model to obtain current routine items corresponding to the basic data and current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model includes:

[0018] Extracting gestational age data from the basic data, and obtaining current routine items corresponding to the gestational age data;

[0019] Extracting preset tags from the basic data and the pregnancy test data;

[0020] Query the current unconventional items corresponding to the preset tags and the gestational age data.

[0021] In one embodiment, after establishing the association relationship between the preset label, the gestational age classification under the preset label, and the historical unconventional items under the gestational age classification to obtain the pregnancy test item recommendation model, the method further includes:

[0022] Count the number of categories of prenatal examination data corresponding to each gestational week category under the preset label, and obtain the total number of prenatal examination data;

[0023] The ratio of the number of classified items to the total number of items is used as the recommended reference value of the historical unconventional item in the corresponding gestational age classification under the preset label;

[0024] storing the historical unconventional items and the recommended reference values ​​in association with each other;

[0025] The respectively calculating the recommended reference values ​​corresponding to the conflicting items includes:

[0026] The pre-stored recommended reference values ​​corresponding to the conflicting items are queried.

[0027] In one embodiment, after sending the pregnancy test item set to the pregnant woman terminal corresponding to the basic data, the method includes:

[0028] After receiving the confirmation information returned by the pregnant woman's terminal, the pregnancy test item set is sent to the doctor's review terminal;

[0029] After receiving the information that the doctor's review terminal has approved the review, the information that the pregnancy test item set has approved the review is sent to the pregnant woman's terminal;

[0030] After receiving the information that the doctor review terminal has failed the review, the modified set of pregnancy test items returned by the doctor review terminal is obtained, and the modified set of pregnancy test items is sent to the pregnant woman terminal.

[0031] In one embodiment, after obtaining the modified set of pregnancy test items returned by the doctor review terminal, the method further includes:

[0032] Establish and store the corresponding relationship between the modified set of pregnancy test items, the basic information of the pregnant woman and the pregnancy test information;

[0033] Determine whether the number of corresponding relationships is greater than a preset value;

[0034] If it is greater than the preset value, the pregnancy test item recommendation model is optimized according to the stored modified pregnancy test item set, the corresponding basic information of the pregnant woman and the pregnancy test information.

[0035] In one embodiment, after sending the pregnancy test item set to the pregnant woman terminal corresponding to the basic data, the method includes:

[0036] Determine whether there is an item in the set of pregnancy test items that requires reservation;

[0037] If there are any items that need to be booked, make a reservation for them.

[0038] A pregnancy test item processing device, the device comprising:

[0039] The current data acquisition module is used to obtain the basic data of pregnant women and pregnancy examination data;

[0040] a first classification module, configured to input the basic data and the pregnancy test data into a pregnancy test item recommendation model, so as to obtain, through the pregnancy test item recommendation model, current routine items corresponding to the basic data, and current unconventional items corresponding to the basic data and the pregnancy test data;

[0041] A recommended reference value calculation module, used for performing conflicting item detection on the current unconventional items, and when there are conflicting items in the current unconventional items, respectively calculating the recommended reference values ​​corresponding to the conflicting items;

[0042] A pregnancy test item set generation module, used for screening the conflicting items according to the recommended reference value, and generating a pregnancy test item set according to the screened conflicting items, current non-conventional items without conflicts, and the current conventional items;

[0043] The sending module is used to send the pregnancy test item set to the pregnant woman terminal corresponding to the basic data.

[0044] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0045] A computer-readable storage medium stores a computer program, which implements the steps of any of the above methods when executed by a processor.

[0046] The above-mentioned method, device, computer equipment and storage medium for processing prenatal examination items can accurately recommend conventional items and unconventional items to pregnant women based on the basic information and prenatal examination information of pregnant women through the prenatal examination item recommendation model, and perform conflict checks on unconventional items to prevent conflicting items, thereby ensuring the accuracy of item push. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is an application scenario diagram of a method for processing pregnancy test items in an embodiment;

[0048] Figure 2 It is a flowchart of a method for processing pregnancy test items in one embodiment;

[0049] Figure 3 is a timing diagram of a method for processing pregnancy test items in one embodiment;

[0050] Figure 4 It is a structural block diagram of a pregnancy test item processing device in one embodiment;

[0051] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0053] The method for processing pregnancy test items provided in this application can be applied to Figure 1 In the application environment shown. Among them, the pregnant terminal 102 communicates with the server 104 through the network. The server 104 obtains the basic data and pregnancy test data of the pregnant woman, so that the basic data and pregnancy test data can be input into the pregnancy test project recommendation model to obtain the current conventional project corresponding to the basic data, and the current unconventional project corresponding to the basic data and the pregnancy test data, and then the current unconventional project is detected for the conflicting project, and when there is a conflicting project, the recommended reference value corresponding to the conflicting project is calculated respectively, so that the conflicting project can be screened according to the recommended reference value, so as to generate a pregnancy test project set according to the conflicting project after screening, the current unconventional project without conflict and the current conventional project, and the pregnancy test project set is sent to the pregnant terminal corresponding to the basic data. In this way, the pregnancy test project recommendation model can accurately recommend conventional projects and unconventional projects to pregnant women according to the basic information and pregnancy test information of pregnant women, and perform conflict checks on unconventional projects to prevent conflicting projects, so as to ensure the accuracy of project push. Among them, the pregnant terminal 102 can be, but not limited to, various personal computers, laptops, smart phones, tablet computers and portable wearable devices, and the server 104 can be implemented with an independent server or a server cluster composed of multiple servers.

[0054] In one embodiment, Figure 2 As shown, a method for processing pregnancy test items is provided, and the method is applied to Figure 1 The server in the example is used to illustrate the following steps:

[0055] S202: Obtaining basic data and pregnancy examination data of the pregnant woman.

[0056] Specifically, the basic data of pregnant women include but are not limited to age, date of birth, ID number, address, contact information, medical history, number of weeks of pregnancy (a scheduled task analysis can be set in the server to compare the current system date with the expected date of delivery reported by pregnant women who have completed registration and approval, and combine the gestational week calculation algorithm to obtain the corresponding gestational week), expected date of delivery, etc. The basic data of pregnant women can be collected when the pregnant woman creates a card, which can be filled in by the pregnant woman herself through the terminal and entered into the server for storage, or obtained through information query, where the server queries the hospital database based on the unique identifier such as the pregnant woman's ID number.

[0057] Pregnancy checkup data refers to data generated by pregnant women after pregnancy checkup, including but not limited to doctor's diagnosis data, test result data of various items, etc. Optionally, the doctor's diagnosis data may also include user label data, i.e., label data used to describe the classification of users, including but not limited to high risk, reexamination, etc.

[0058] The timing for obtaining the basic data of the pregnant woman may be when the server determines that the pregnant woman is about to undergo the next prenatal checkup based on the prenatal checkup schedule. That is, when the pregnant woman creates a card, the server generates a prenatal checkup schedule based on the gestational age of the pregnant woman. The prenatal checkup schedule includes the time when the pregnant woman needs a prenatal checkup each time. The server can regularly query the difference between the current time and the time of the next prenatal checkup in the prenatal checkup schedule. When the difference is less than the preset value, for example, less than two days, the processing of this prenatal checkup item is triggered, so that the server obtains the basic data of the pregnant woman.

[0059] After obtaining the basic data of the pregnant woman, the server also needs to determine whether there is pregnancy test data corresponding to the basic data. For example, the ID card number can be used to query whether there is pregnancy test data corresponding to the ID card number. When the pregnant woman is having a pregnancy test for the first time, there is no pregnancy test data. Otherwise, there is corresponding pregnancy test data. The server reads the queried pregnancy test data from the database.

[0060] S204: Inputting the basic data and the pregnancy test data into the pregnancy test item recommendation model, so as to obtain the current routine items corresponding to the basic data and the current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model.

[0061] Specifically, the prenatal examination item recommendation model is generated based on historical prenatal examination data and the item information corresponding to the historical prenatal examination data. It gives the routine items corresponding to each gestational week and the unconventional items corresponding to each label. The labels here include but are not limited to age, medical history, gestational week, and the user's classification labels given by the doctor at each prenatal examination.

[0062] Specifically, the server can define and maintain individual examination items, such as name, description, price, whether an appointment is required, etc. Define and maintain prenatal examination combination items, such as name, prenatal examination sequence, recommended gestational age, precautions, and detailed intelligent recommendation labels for the prenatal examination items included. Label the corresponding examination items and prenatal examination combination items (maintenance of intelligent labels) according to the medical history and different symptoms of the pregnant woman, such as hypertension, diabetes, hypothyroidism, etc. The prenatal examination combination items are routine items determined according to the gestational age.

[0063] Specifically, the server inputs the basic information and pregnancy test data into the pregnancy test item recommendation model, which can first extract the gestational age data from the basic data, and then obtain the corresponding routine items based on the gestational age data. The server then extracts the label data from the basic data and the pregnancy test data, and then obtains the unconventional items corresponding to each label data according to the pregnancy test item recommendation model.

[0064] S206: Detect conflicting items for the current unconventional items. When there are conflicting items in the current unconventional items, respectively calculate the recommended reference values ​​corresponding to the conflicting items.

[0065] Specifically, conflicting item detection refers to the detection of two items with the same effect or two items that cannot be performed at the same time. The recommended reference value is used to measure the priority of each conflicting item, and the recommended reference value can be output by the pregnancy test item recommendation model.

[0066] After the server obtains conventional items and unconventional items through the prenatal examination item recommendation model, it needs to perform conflicting item detection on the unconventional items. If there are conflicting items, it is also necessary to calculate the recommended reference value corresponding to the conflicting items. The recommended reference value may be the output of the prenatal examination item recommendation model. For example, the prenatal examination item recommendation model may give the unconventional items corresponding to each label and the weight corresponding to the unconventional item. The weight is the recommended reference value. For example, the label history of diabetes may correspond to multiple items, assuming A1, A2 and A3. Each item has a weight, which may be calculated based on historical prenatal examination data. History of hypertension may also correspond to multiple items, assuming B1, B2 and B3. A1 and B1 are conflicting items. The weights of A1 and B1 may be obtained as recommended reference values, thereby obtaining an item with a larger recommended reference value as the item that needs to be checked.

[0067] S208: Filter the conflicting items according to the recommended reference values, and generate a pregnancy test item set according to the filtered conflicting items, current non-conventional items without conflicts, and current conventional items.

[0068] Specifically, the server obtains an item with a larger recommended reference value as the item that needs to be checked, and then generates a pregnancy test item set by combining the conflicting item, the non-conflicting unconventional item and the conventional item, that is, the items that the pregnant woman needs to be tested for this time.

[0069] S210: Sending the pregnancy test item set to the pregnant woman's terminal corresponding to the basic data.

[0070] The server sends the generated pregnancy test item set to the pregnant woman's terminal so that the pregnant woman can view the pregnancy test item set. Optionally, the pregnancy test item set needs to be sent to the pregnant woman before the next pregnancy test in the pregnancy test schedule. The pregnant woman can view the pregnancy test item set and add descriptions, such as personal medical history, genetic diseases, diabetes, etc., and submit a pregnancy test request to the server after processing is completed, so that the pregnant woman can be registered in time.

[0071] The above-mentioned method for processing prenatal examination items can accurately recommend conventional items and unconventional items to pregnant women according to the basic information and prenatal examination information of pregnant women through the prenatal examination item recommendation model, and perform conflict checks on unconventional items to prevent conflicting items, thereby ensuring the accuracy of item push.

[0072] In one of the embodiments, a method for generating a prenatal examination item recommendation model includes: obtaining prenatal examination data of pregnant women, each piece of prenatal examination data including historical basic data, historical prenatal examination data and corresponding historical examination items; extracting historical gestational age data from the historical basic data, and classifying the historical prenatal examination data according to the historical gestational age data; identifying historical routine items corresponding to the historical prenatal examination data of each gestational age classification, and extracting historical unconventional items from historical examination items based on the historical routine items; querying preset labels corresponding to historical unconventional items, and obtaining historical unconventional items under each gestational age classification corresponding to the preset labels; establishing a correlation between preset labels, gestational age classifications under the preset labels, and historical unconventional items under gestational age classifications, to obtain a prenatal examination item recommendation model.

[0073] Specifically, the server obtains each prenatal examination data of the pregnant woman, and each prenatal examination data includes historical basic data, historical prenatal examination data and corresponding historical examination items; the gestational age data is extracted according to the historical basic data, and the above prenatal examination data is classified according to the gestational age data, and then each classification is processed, including obtaining the routine items corresponding to the preset gestational age data, removing the routine items from the historical examination items, and then keeping the data corresponding to one of the labels different for the remaining items, and the data corresponding to the other labels the same, so as to obtain the items corresponding to each classification under the label, and establish the correspondence between the label and the classification under the label and the corresponding examination item to obtain a prenatal examination item recommendation model.

[0074] Specifically, for example, there are A1 to A8 prenatal examination data, first classified according to gestational age, assuming that A1 to A8 prenatal examination data all belong to the same gestational age, and then control that only one label corresponding to the data in A1 to A8 prenatal examination data is changed, and the other labels are the same. Assume that the other labels of A1 to A8 prenatal examination data, such as age label and pregnancy examination label, are the same, and only the medical history label is different, where the medical history label is divided into diabetes label, hypertension label, etc. The medical history label of A1 to A5 prenatal examination data is the diabetes label, and the medical history label of A6 to A8 prenatal examination data is the hypertension label. Then obtain the remaining examination items in A1 to A5 prenatal examination data, obtain the same items in these examination items, and use the same items as the examination items corresponding to the diabetes label. Optionally, the weight values ​​of these same items can also be calculated, that is, the ratio of the number of prenatal examination data corresponding to the diabetes label to the total number of prenatal examination data.

[0075] In the above embodiment, the association between the preset label, the gestational age classification under the preset label, and the historical unconventional items under the gestational age classification is determined by controlling variables, and then a pregnancy test item recommendation model is obtained, which can ensure the accuracy of the pregnancy test item recommendation model.

[0076] In one of the embodiments, basic data and prenatal examination data are input into a prenatal examination item recommendation model to obtain current routine items corresponding to the basic data and current unconventional items corresponding to the basic data and the prenatal examination data through the prenatal examination item recommendation model, including: extracting gestational age data from the basic data and obtaining the current routine items corresponding to the gestational age data; extracting preset labels from the basic data and the prenatal examination data; and querying the preset labels and the current unconventional items corresponding to the gestational age data.

[0077] Specifically, the pregnancy test item recommendation model can first extract the gestational age data from the basic data, and then obtain the corresponding routine items based on the gestational age data. This is because different gestational ages may correspond to different routine items, so the server needs to determine different routine items based on the gestational age data. The server then extracts the label data from the basic data and pregnancy test data, and then obtains the unconventional items corresponding to each label data based on the pregnancy test item recommendation model.

[0078] In the above embodiment, conventional items are first obtained based on the gestational age data, and then unconventional items are determined based on the label data. Different examination items can be determined by classification to improve accuracy.

[0079] In one embodiment, after establishing the association relationship between the preset label, the gestational week classification under the preset label, and the historical unconventional items under the gestational week classification, and obtaining the pregnancy test item recommendation model, it also includes: counting the number of classification items of the prenatal examination data corresponding to each gestational week classification under the preset label, and obtaining the total number of prenatal examination data; using the ratio of the number of classification items to the total number of items as the recommended reference value of the historical unconventional items in the corresponding gestational week classification under the preset label; associating and storing the historical unconventional items and the recommended reference value. In this way, the recommended reference values ​​corresponding to the conflicting items are calculated respectively, including: querying the recommended reference values ​​corresponding to the pre-stored conflicting items.

[0080] Specifically, in the process of generating the above model, that is, after obtaining the items corresponding to each category under the label, establishing the corresponding relationship between the label and the category under the label and the corresponding examination items to obtain the pregnancy examination item recommendation model, the number of prenatal examination data corresponding to the category under the label is counted, and the total number of prenatal examination data is obtained. The ratio of the number of prenatal examination data corresponding to the category under the label and the total number of prenatal examination data is used as the recommended reference value. In this way, when calculating the recommended reference value corresponding to the conflicting items, you can directly query it, which simplifies the operation.

[0081] In the above embodiment, after the model is generated, the recommended reference value is calculated directly according to the number of prenatal examination data, so when calculating the recommended reference value corresponding to the conflicting items, it can be directly queried, which simplifies the operation.

[0082] In one of the embodiments, after the prenatal examination item set is sent to the pregnant woman terminal corresponding to the basic data, it includes: when the confirmation information returned by the pregnant woman terminal is received, the prenatal examination item set is sent to the doctor review terminal; when the information that the prenatal examination item set has been reviewed and approved by the doctor review terminal is received, the information that the prenatal examination item set has been reviewed and approved is sent to the pregnant woman terminal; when the information that the prenatal examination item set has not been reviewed and approved is received from the doctor review terminal, the modified prenatal examination item set returned by the doctor review terminal is obtained, and the modified prenatal examination item set is sent to the pregnant woman terminal.

[0083] Specifically, after the pregnant woman's terminal confirms, the pregnant woman will go to the hospital within the corresponding period to do the pregnancy test items involved in the above pregnancy test item set, and then it needs to be sent to the doctor for review. The doctor can review the pregnancy test item set. In addition, it can also combine the pregnant woman's situation description to determine whether the pregnancy test items in the pregnancy test item set meet the regulations. If so, the information that the pregnancy test item set has been reviewed and approved will be sent to the pregnant woman's terminal for notification, so as to facilitate timely prenatal examination. If it does not meet the regulations, it can be modified and the modified pregnancy test item set will be sent to the pregnant woman's terminal. In addition, if the pregnant woman is abnormal, the pregnant woman can be notified immediately to go to the hospital for examination.

[0084] In the above embodiment, a doctor review terminal is also introduced to review the pregnancy check item set, which can improve the accuracy of the pregnancy check item set.

[0085] In one of the embodiments, after obtaining the modified set of pregnancy test items returned by the doctor review terminal, it also includes: establishing and storing the corresponding relationship between the modified set of pregnancy test items, the basic information corresponding to the pregnant woman, and the pregnancy test information; judging whether the number of corresponding relationships is greater than a preset value; if it is greater than the preset value, optimizing the pregnancy test item recommendation model according to the stored modified set of pregnancy test items, the basic information corresponding to the pregnant woman, and the pregnancy test information.

[0086] Specifically, the modified set of prenatal examination items is stored, so as to establish a correspondence between the basic information and prenatal examination information corresponding to the pregnant woman and the set of prenatal examination items, thereby generating a new prenatal examination data, and judging whether the number of newly added prenatal examination data is greater than a preset value. If so, the newly added prenatal examination data is added to the prenatal examination item recommendation model to optimize the prenatal examination item recommendation model.

[0087] In the above embodiment, the set of pregnancy examination items modified by the doctor review terminal is stored to facilitate subsequent optimization of the pregnancy examination item recommendation model, which can improve the accuracy of the pregnancy examination item recommendation model.

[0088] In one of the embodiments, after the prenatal examination item set is sent to the pregnant woman terminal corresponding to the basic data, it includes: determining whether there are items in the prenatal examination item set that need to be booked; if there are items that need to be booked, making a reservation for the items that need to be booked.

[0089] Specifically, the server can also determine whether there are items that need to be booked in the combination of pregnancy test items, and if so, automatically make an appointment. In this way, users do not need to make an appointment manually or queue up after arriving at the hospital. For example, this method can be used for items that require appointments, such as B-ultrasound items.

[0090] In the above embodiment, the items that require reservation are automatically reserved, and there is no need to make reservations manually or queue up after arriving at the hospital, thereby improving efficiency.

[0091] In one embodiment, see Figure 3 As shown, Figure 3 This is a timing diagram of a method for processing pregnancy check-up items in an embodiment. In this embodiment, the pregnant woman's terminal can first add a patient and bind the medical card to report the pregnant woman, that is, upload basic information for file creation, etc. The server can also obtain the pregnant woman's basic information from an external system for file creation.

[0092] The server generates a prenatal checkup schedule based on the basic information of the pregnant woman, and then determines whether the next prenatal checkup can be applied for, that is, whether the time to the next prenatal checkup is within the preset time. If so, a reminder will be given N days in advance, and a prenatal checkup form will be issued according to the set of prenatal checkup items and sent to the pregnant woman's terminal. The pregnant woman's terminal can fill in the prenatal checkup form according to the pregnant woman's own situation. And determine whether there are items that need to be booked. If so, make an appointment. Otherwise, select the prenatal checkup date and submit the application for timely payment.

[0093] The server sends the paid prenatal examination application to the doctor's review terminal, and the doctor checks the pregnant woman's information through the doctor's review terminal to determine whether the pregnant woman is normal. If not, the pregnant woman can be notified immediately to go to the hospital for examination. If normal, the prenatal examination items can be confirmed and the pregnant woman can be notified to report to the hospital in time for prenatal examination.

[0094] In the above embodiment, the prenatal examination item recommendation model can accurately recommend conventional items and unconventional items to pregnant women based on their basic information and prenatal examination information, and perform conflict checks on unconventional items to prevent conflicting items, thereby ensuring the accuracy of item push.

[0095] It should be understood that although Figure 2-3 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-3 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0096] In one embodiment, Figure 4 As shown, a pregnancy test item processing device is provided, comprising: a current data acquisition module 100, a classification module 200, a recommended reference value calculation module 300, a pregnancy test item set generation module 400 and a sending module 500, wherein:

[0097] The current data acquisition module 100 is used to acquire the basic data and pregnancy examination data of the pregnant woman.

[0098] The classification module 200 is used to input the basic data and the pregnancy test data into the pregnancy test item recommendation model to obtain the current routine items corresponding to the basic data and the current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model.

[0099] The recommended reference value calculation module 300 is used to perform conflicting item detection on the current unconventional items, and when there are conflicting items in the current unconventional items, respectively calculate the recommended reference values ​​corresponding to the conflicting items.

[0100] The prenatal examination item set generation module 400 is used to screen conflicting items according to recommended reference values, and generate a prenatal examination item set according to the screened conflicting items, current non-conventional items without conflicts, and current conventional items.

[0101] The sending module 500 is used to send the pregnancy test item set to the pregnant woman's terminal corresponding to the basic data.

[0102] In one embodiment, the above-mentioned pregnancy test item processing device may further include:

[0103] The historical data acquisition module is used to obtain the prenatal examination data of pregnant women. Each prenatal examination data includes historical basic data, historical pregnancy examination data and corresponding historical examination items.

[0104] The second classification module 200 is used to extract historical gestational age data from the historical basic data, and classify the historical pregnancy examination data according to the historical gestational age data.

[0105] The item identification module is used to identify the historical routine items corresponding to the historical pregnancy examination data classified in each gestational week, and to extract the historical non-routine items from the historical examination items based on the historical routine items.

[0106] The third classification module 200 is used to query the preset tags corresponding to the historical unconventional items, and obtain the historical unconventional items under each gestational week classification corresponding to the preset tags.

[0107] The module for generating a model for recommending pregnancy check-up items is used to establish associations among preset labels, gestational age categories under the preset labels, and historical unconventional items under the gestational age categories, so as to obtain a model for recommending pregnancy check-up items.

[0108] In one embodiment, the first classification module 200 includes:

[0109] The first extraction unit is used to extract gestational age data from the basic data and obtain current routine items corresponding to the gestational age data.

[0110] The second extraction unit is used to extract preset labels from the basic data and the pregnancy test data.

[0111] The query unit is used to query the current non-routine items corresponding to the preset labels and gestational age data.

[0112] In one embodiment, the above-mentioned pregnancy test item processing device may further include:

[0113] The statistics module is used to count the number of categories of prenatal examination data corresponding to each gestational week category under the preset label, and obtain the total number of prenatal examination data.

[0114] The ratio calculation module is used to use the ratio of the number of classified items to the total number of items as the recommended reference value of the historical unconventional items in the corresponding gestational age classification under the preset label.

[0115] The storage module is used for associatively storing historical non-routine items and recommended reference values.

[0116] The recommended reference value calculation module 300 is further used to query the pre-stored recommended reference values ​​corresponding to the conflicting items.

[0117] In one embodiment, the above-mentioned pregnancy test item processing device may further include:

[0118] The receiving module is used to send the set of prenatal examination items to the doctor's review terminal after receiving the confirmation information returned by the pregnant woman's terminal; when receiving the information that the prenatal examination item set has been reviewed and approved by the doctor's review terminal, the information that the prenatal examination item set has been reviewed and approved is sent to the pregnant woman's terminal; when receiving the information that the prenatal examination item set has not been reviewed and approved by the doctor's review terminal, the modified set of prenatal examination items is obtained and sent to the pregnant woman's terminal.

[0119] In one embodiment, the above-mentioned pregnancy test item processing device may further include:

[0120] The corresponding relationship establishment module is used to establish and store the corresponding relationship between the modified set of pregnancy test items, the basic information corresponding to the pregnant woman and the pregnancy test information.

[0121] The first judgment module is used to judge whether the number of corresponding relationships is greater than a preset value.

[0122] The optimization module is used to optimize the pregnancy test item recommendation model according to the stored modified pregnancy test item set, the basic information corresponding to the pregnant woman and the correspondence between the pregnancy test information if it is greater than the preset value.

[0123] In one embodiment, the above-mentioned pregnancy test item processing device may further include:

[0124] The second judgment module is used to judge whether there are items that need to be booked in the pregnancy examination item set.

[0125] The reservation module is used to make reservations for items that require reservations if there are any.

[0126] For the specific definition of the pregnancy test item processing device, please refer to the definition of the pregnancy test item processing method above, which will not be repeated here. Each module in the above-mentioned pregnancy test item processing device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0127] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pregnancy test items. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for processing pregnancy test items is implemented.

[0128] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0129] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the following steps when executing the computer program: obtaining basic data and pregnancy test data of a pregnant woman; inputting the basic data and the pregnancy test data into a pregnancy test item recommendation model to obtain current routine items corresponding to the basic data, and current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model; performing conflict item detection on the current unconventional items, and when there are conflict items in the current unconventional items, respectively calculating the recommended reference values ​​corresponding to the conflict items; screening the conflict items according to the recommended reference values, and generating a pregnancy test item set according to the screened conflict items, the current unconventional items without conflicts, and the current routine items; and sending the pregnancy test item set to a pregnant woman terminal corresponding to the basic data.

[0130] In one embodiment, a method for generating a pregnancy check-up item recommendation model involved in a processor executing a computer program includes: obtaining the pregnancy check-up data of a pregnant woman, each piece of pregnancy check-up data including historical basic data, historical pregnancy check-up data, and corresponding historical examination items; extracting historical gestational age data from the historical basic data, and classifying the historical pregnancy check-up data according to the historical gestational age data; identifying historical routine items corresponding to the historical pregnancy check-up data of each gestational age classification, and extracting historical unconventional items from historical examination items based on the historical routine items; querying preset labels corresponding to historical unconventional items, and obtaining historical unconventional items under each gestational age classification corresponding to the preset labels; establishing an association between preset labels, gestational age classifications under the preset labels, and historical unconventional items under gestational age classifications, to obtain a pregnancy check-up item recommendation model.

[0131] In one embodiment, when a processor executes a computer program, basic data and prenatal examination data are input into a prenatal examination item recommendation model to obtain current routine items corresponding to the basic data and current unconventional items corresponding to the basic data and the prenatal examination data through the prenatal examination item recommendation model, including: extracting gestational age data from the basic data and obtaining current routine items corresponding to the gestational age data; extracting preset labels from the basic data and the prenatal examination data; and querying the preset labels and current unconventional items corresponding to the gestational age data.

[0132] In one embodiment, when the processor executes a computer program, the establishment of a preset label, a gestational age classification under the preset label, and an association relationship between historical unconventional items under the gestational age classification is implemented, and after obtaining a pregnancy examination item recommendation model, the method also includes: counting the number of classification items of prenatal examination data corresponding to each gestational age classification under the preset label, and obtaining the total number of prenatal examination data; using the ratio of the number of classification items to the total number of items as the recommended reference value of the historical unconventional items in the corresponding gestational age classification under the preset label; associating and storing the historical unconventional items and the recommended reference values; and respectively calculating the recommended reference values ​​corresponding to the conflicting items, including: querying the recommended reference values ​​corresponding to the pre-stored conflicting items.

[0133] In one embodiment, after the processor executes the computer program to send the prenatal check-up item set to the pregnant woman terminal corresponding to the basic data, the process includes: after receiving the confirmation information returned by the pregnant woman terminal, sending the prenatal check-up item set to the doctor review terminal; after receiving the information that the prenatal check-up item set has been reviewed and approved by the doctor review terminal, sending the information that the prenatal check-up item set has been reviewed and approved to the pregnant woman terminal; after receiving the information that the prenatal check-up item set has not been reviewed and approved by the doctor review terminal, obtaining the modified prenatal check-up item set returned by the doctor review terminal, and sending the modified prenatal check-up item set to the pregnant woman terminal.

[0134] In one embodiment, after the processor executes the computer program to obtain the modified set of pregnancy test items returned by the doctor review terminal, it also includes: establishing and storing the corresponding relationship between the modified set of pregnancy test items, the basic information corresponding to the pregnant woman, and the pregnancy test information; determining whether the number of corresponding relationships is greater than a preset value; if greater than the preset value, optimizing the pregnancy test item recommendation model based on the stored corresponding relationship between the modified set of pregnancy test items, the basic information corresponding to the pregnant woman, and the pregnancy test information.

[0135] In one embodiment, after the processor executes the computer program to send the prenatal examination item set to the pregnant woman terminal corresponding to the basic data, it includes: determining whether there are items in the prenatal examination item set that need to be booked; if there are items that need to be booked, then making a reservation for the items that need to be booked.

[0136] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: obtaining basic data and prenatal examination data of the pregnant woman; inputting the basic data and the prenatal examination data into a prenatal examination item recommendation model to obtain current routine items corresponding to the basic data, and current unconventional items corresponding to the basic data and the prenatal examination data through the prenatal examination item recommendation model; performing conflict item detection on the current unconventional items, and when there are conflict items in the current unconventional items, respectively calculating the recommended reference values ​​corresponding to the conflict items; screening the conflict items according to the recommended reference values, and generating a prenatal examination item set according to the screened conflict items, the current unconventional items without conflicts, and the current conventional items; and sending the prenatal examination item set to the pregnant woman terminal corresponding to the basic data.

[0137] In one embodiment, a method for generating a pregnancy test item recommendation model involved in execution of a computer program by a processor includes: obtaining pregnancy test data of pregnant women, each piece of pregnancy test data including historical basic data, historical pregnancy test data and corresponding historical examination items; extracting historical gestational age data from the historical basic data, and classifying the historical pregnancy test data according to the historical gestational age data; identifying historical routine items corresponding to the historical pregnancy test data of each gestational age classification, and extracting historical unconventional items from historical examination items based on the historical routine items; querying preset labels corresponding to historical unconventional items, and obtaining historical unconventional items under each gestational age classification corresponding to the preset labels; establishing an association between preset labels, gestational age classifications under the preset labels, and historical unconventional items under gestational age classifications, to obtain a pregnancy test item recommendation model.

[0138] In one embodiment, when a computer program is executed by a processor, the basic data and the prenatal examination data are input into a prenatal examination item recommendation model to obtain the current routine items corresponding to the basic data and the current unconventional items corresponding to the basic data and the prenatal examination data through the prenatal examination item recommendation model, including: extracting gestational age data from the basic data and obtaining the current routine items corresponding to the gestational age data; extracting preset labels from the basic data and the prenatal examination data; and querying the preset labels and the current unconventional items corresponding to the gestational age data.

[0139] In one embodiment, the computer program implemented when executed by the processor establishes a correlation relationship between preset labels, gestational age categories under the preset labels, and historical unconventional items under the gestational age categories, and after obtaining a pregnancy check-up item recommendation model, also includes: counting the number of classification items of prenatal check-up data corresponding to each gestational age category under the preset labels, and obtaining the total number of prenatal check-up data; using the ratio of the number of classification items to the total number of items as the recommended reference value of the historical unconventional items in the corresponding gestational age category under the preset labels; associating and storing the historical unconventional items and the recommended reference values; and respectively calculating the recommended reference values ​​corresponding to the conflicting items, including: querying the recommended reference values ​​corresponding to the pre-stored conflicting items.

[0140] In one embodiment, after the computer program is executed by the processor, the process of sending the prenatal check-up item set to the pregnant woman terminal corresponding to the basic data includes: after receiving the confirmation information returned by the pregnant woman terminal, sending the prenatal check-up item set to the doctor review terminal; after receiving the information that the prenatal check-up item set has been reviewed and approved by the doctor review terminal, sending the information that the prenatal check-up item set has been reviewed and approved to the pregnant woman terminal; after receiving the information that the prenatal check-up item set has not been reviewed and approved by the doctor review terminal, obtaining the modified prenatal check-up item set returned by the doctor review terminal, and sending the modified prenatal check-up item set to the pregnant woman terminal.

[0141] In one embodiment, after the computer program is executed by the processor and obtains the modified set of pregnancy test items returned by the doctor review terminal, it also includes: establishing and storing the corresponding relationship between the modified set of pregnancy test items, the basic information corresponding to the pregnant woman, and the pregnancy test information; determining whether the number of corresponding relationships is greater than a preset value; if greater than the preset value, optimizing the pregnancy test item recommendation model based on the stored corresponding relationship between the modified set of pregnancy test items, the basic information corresponding to the pregnant woman, and the pregnancy test information.

[0142] In one embodiment, after the computer program is executed by the processor and the prenatal examination item set is sent to the pregnant woman terminal corresponding to the basic data, it includes: determining whether there are items in the prenatal examination item set that need to be booked; if there are items that need to be booked, then making a reservation for the items that need to be booked.

[0143] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0144] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0145] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for processing pregnancy test items, the method comprising: Generate a prenatal examination timeline chart based on the gestational age of the pregnant woman; The prenatal examination timeline includes: the time when the pregnant woman needs a prenatal examination each time; Regularly query the difference between the current time and the next pregnancy examination time in the pregnancy examination schedule. When the difference is less than the preset value, obtain the basic data of the pregnant woman and the pregnancy examination data; The basic data and the pregnancy test data are input into the pregnancy test item recommendation model, so as to obtain the current routine items corresponding to the basic data and the current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model; wherein the pregnancy test item recommendation model is generated based on the historical pregnancy test data and the item information corresponding to the historical pregnancy test data, and the pregnancy test item recommendation model gives the routine items corresponding to each gestational week and the unconventional items corresponding to each label, and the labels include: age, medical history, gestational week, and the user's classification label given by the doctor for each pregnancy test; the generation method of the pregnancy test item recommendation model includes: obtaining the pregnancy test data of the pregnant woman, and each item The prenatal examination data includes historical basic data, historical prenatal examination data and corresponding historical examination items; extracting historical gestational age data from the historical basic data, and classifying the historical prenatal examination data according to the historical gestational age data; identifying historical routine items corresponding to the historical prenatal examination data of each gestational age classification, and extracting historical unconventional items from the historical examination items according to the historical routine items; querying the preset labels corresponding to the historical unconventional items, and obtaining the historical unconventional items under each gestational age classification corresponding to the preset labels; establishing the association between the preset labels, the gestational age classification under the preset labels and the historical unconventional items under the gestational age classification, and obtaining a prenatal examination item recommendation model; Perform conflicting item detection on the current unconventional items, and when there are conflicting items in the current unconventional items, respectively calculate the recommended reference values ​​corresponding to the conflicting items; The conflicting items are screened according to the recommended reference values, and a pregnancy test item set is generated according to the screened conflicting items, current non-conventional items without conflicts, and the current conventional items; The pregnancy test item set is sent to the pregnant woman's terminal corresponding to the basic data.

2. The method according to claim 1, characterized in that The step of inputting the basic data and the pregnancy test data into a pregnancy test item recommendation model to obtain current routine items corresponding to the basic data and current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model includes: Extracting gestational age data from the basic data, and obtaining current routine items corresponding to the gestational age data; Extracting preset tags from the basic data and the pregnancy test data; Query the current unconventional items corresponding to the preset tags and the gestational age data.

3. The method according to claim 1, characterized in that: After establishing the association relationship between the preset label, the gestational age classification under the preset label, and the historical unconventional items under the gestational age classification, and obtaining the pregnancy test item recommendation model, the method further includes: Count the number of categories of prenatal examination data corresponding to each gestational week category under the preset label, and obtain the total number of prenatal examination data; The ratio of the number of classified items to the total number of items is used as the recommended reference value of the historical unconventional item in the corresponding gestational age classification under the preset label; storing the historical unconventional items and the recommended reference values ​​in association with each other; The respectively calculating the recommended reference values ​​corresponding to the conflicting items includes: The pre-stored recommended reference values ​​corresponding to the conflicting items are queried.

4. The method according to any one of claims 1 to 3, characterized in that: After sending the pregnancy test item set to the pregnant woman terminal corresponding to the basic data, the method includes: After receiving the confirmation information returned by the pregnant woman's terminal, the pregnancy test item set is sent to the doctor's review terminal; After receiving the information that the doctor's review terminal has approved the review, the information that the pregnancy test item set has approved the review is sent to the pregnant woman's terminal; After receiving the information that the doctor review terminal has failed the review, the modified set of pregnancy test items returned by the doctor review terminal is obtained, and the modified set of pregnancy test items is sent to the pregnant woman terminal.

5. The method according to claim 4, characterized in that After obtaining the modified pregnancy test item set returned by the doctor review terminal, the method further includes: Establish and store the corresponding relationship between the modified set of pregnancy test items, the basic information of the pregnant woman and the pregnancy test information; Determine whether the number of corresponding relationships is greater than a preset value; If it is greater than the preset value, the pregnancy test item recommendation model is optimized according to the stored modified pregnancy test item set, the corresponding basic information of the pregnant woman and the pregnancy test information.

6. The method according to any one of claims 1 to 3, characterized in that: After sending the pregnancy test item set to the pregnant woman terminal corresponding to the basic data, the method includes: Determine whether there is an item in the set of pregnancy test items that requires reservation; If there are items that need to be booked, make a reservation for them.

7. A pregnancy test item processing device, characterized in that: The device comprises: The current data acquisition module is used to generate a prenatal examination time chart according to the gestational age of the pregnant woman, regularly query the difference between the current time and the next prenatal examination time in the prenatal examination time chart, and when the difference is less than a preset value, obtain the basic data and prenatal examination data of the pregnant woman; the prenatal examination time chart includes: the time when the pregnant woman needs a prenatal examination each time; The first classification module is used to input the basic data and the pregnancy test data into the pregnancy test item recommendation model, so as to obtain the current routine items corresponding to the basic data and the current unconventional items corresponding to the basic data and the pregnancy test data through the pregnancy test item recommendation model; wherein the pregnancy test item recommendation model is generated based on the historical pregnancy test data and the item information corresponding to the historical pregnancy test data, and the pregnancy test item recommendation model gives the routine items corresponding to each gestational week and the unconventional items corresponding to each label, and the labels include: age, medical history, gestational week, and the user's classification label given by the doctor for each pregnancy test; the generation method of the pregnancy test item recommendation model includes: obtaining the pregnancy test data of the pregnant woman; According to the data, each of the prenatal examination data includes historical basic data, historical pregnancy examination data and corresponding historical examination items; extracting historical gestational age data from the historical basic data, and classifying the historical pregnancy examination data according to the historical gestational age data; identifying the historical routine items corresponding to the historical pregnancy examination data of each gestational age classification, and extracting historical unconventional items from the historical examination items according to the historical routine items; querying the preset labels corresponding to the historical unconventional items, and obtaining the historical unconventional items under each gestational age classification corresponding to the preset labels; establishing the association between the preset labels, the gestational age classification under the preset labels, and the historical unconventional items under the gestational age classification, and obtaining a pregnancy examination item recommendation model; A recommended reference value calculation module, used for performing conflicting item detection on the current unconventional items, and when there are conflicting items in the current unconventional items, respectively calculating the recommended reference values ​​corresponding to the conflicting items; A pregnancy test item set generation module, used for screening the conflicting items according to the recommended reference value, and generating a pregnancy test item set according to the screened conflicting items, current non-conventional items without conflicts, and the current conventional items; The sending module is used to send the pregnancy test item set to the pregnant woman terminal corresponding to the basic data.

8. The device according to claim 7, characterized in that The first classification module comprises: A first extraction unit is used to extract gestational age data from the basic data and obtain current routine items corresponding to the gestational age data; A second extraction unit, used to extract preset labels from the basic data and the pregnancy test data; The query unit is used to query the current non-routine items corresponding to the preset labels and gestational age data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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