CN115691746A - Organism evaluation management system based on health record - Google Patents
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Abstract
The invention relates to the technical field of health assessment, in particular to an organism assessment management system based on health files, which comprises a health data acquisition module, a health file calling module, a user health detection module and a user health prediction module, wherein the health data acquisition module is used for acquiring the current health data of a target user, calling a corresponding health file, detecting whether abnormal data information exists compared with health indexes or not, and generating a health detection result; obtaining a health prediction result based on the health prediction model; and evaluating the organism health grade of the target user according to the health detection result and the health prediction result, and displaying abnormal data information and prediction information exceeding the health index in the health prediction result in a priority arrangement mode. The current health data can be predicted according to the current health data and health file information of the target user to obtain a corresponding visual organism evaluation result, so that the target user can more visually acquire the self health change, and the target user can more visually feel the evaluation effect.
Description
Technical Field
The invention relates to the technical field of health assessment, in particular to a body assessment management system based on health files.
Background
With the improvement of the quality of life and the acceleration of the living speed of people, people pay more and more attention to the health state of the people. Currently, a user can go to some physical examination organizations to test the health condition of the user, and the physical examination organizations generate corresponding health detection evaluation results according to the examination of the health condition of the user. The user can only know whether each health detection evaluation index is in the corresponding normal range according to the health detection evaluation result, but cannot know the health condition reflected by the health test result. Particularly, the health change of the body cannot be evaluated based on the health file, so that after the current health data of the user is analyzed, the physical sign standard index is judged whether to exceed a normal range according to the health file, and the abnormal index of the body is timely evaluated and predicted to perform health early warning or abnormal condition early warning.
Therefore, a health-profile-based machine evaluation management system is urgently needed to solve the problem that the evaluation management of the health change of the machine body based on the health profile cannot be performed.
Disclosure of Invention
In order to solve the problem that the health change of an organism cannot be evaluated and managed based on health files, the invention provides an organism evaluation management system based on the health files, which is used for predicting and evaluating risk information by combining the health files and detection information of a target user and pushing abnormal detection information or predicted risk information in a limited arrangement manner, and is beneficial to timely discovering and processing abnormal conditions of organism evaluation management by people.
In order to achieve the purpose, the invention provides the following technical scheme:
in a first aspect, the present invention provides a health record-based organism evaluation management system, including:
the health data acquisition module is used for carrying out health examination on a target user based on health examination equipment and acquiring current health data of the target user;
the health file calling module is used for calling a health file corresponding to a target user to which the current health data belongs in a pre-stored health file library;
the user health detection module is used for detecting whether abnormal data information exists in the current health data of the target user compared with health indexes or not according to the acquired current health data of the target user and a pre-stored health index database, and generating a health detection result;
the user health prediction module is used for inputting the current health data with abnormal data information removed and the health file corresponding to the target user into the health prediction model to obtain a health prediction result;
and the body health evaluation module is used for evaluating the body health grade of the target user according to the health detection result and the health prediction result and displaying the abnormal data information and the prediction information exceeding the health index in the health prediction result in a priority arrangement mode.
As a further aspect of the present invention, the health check device includes at least one physical examination device for checking at least one health check item, and the physical examination device is communicatively connected to the server of the body evaluation management system, and is configured to transmit the current health data of the target user collected during the health check to the server in real time.
As a further aspect of the present invention, the health archive and the health index database are pre-stored in a memory of the server, and the server is further configured to network and obtain the health archive and the health index database stored in a cloud database.
As a further aspect of the present invention, the body evaluation management system further includes:
and the prediction model training module is used for preprocessing the historical health sample data to obtain a training data set, a verification data set and a test data set, and training and evaluating the established initial prediction model to obtain a trained health prediction model.
As a further aspect of the present invention, the prediction model training module further includes:
the model establishing unit is used for establishing an initial prediction model, the initial prediction model comprises an initial data classification network and an initial health prediction network, and the output end of the initial data classification network is connected with the input end of the initial health prediction network; the classification network training unit is used for performing health examination item classification and labeling on the training data set to obtain health item labeling data, and training the initial data classification network to obtain a target health examination item classification model;
a health prediction network training unit for labeling the health examination result of the training data set according to the health file, training the initial health prediction network to obtain a target health prediction network model,
and the prediction model acquisition unit is used for obtaining a health prediction model according to the combination of the target health examination item classification model and the target health prediction network model.
As a further aspect of the present invention, the prediction model training module further includes:
the regular data input unit is used for inputting the regularly acquired health data into an original training data set to obtain a training data set of the current round;
the parameter updating unit is used for calculating gradient data required by the updating of the current round based on the initial parameters of the health prediction model and updating the gradient data to obtain updated prediction parameters;
and the model updating unit is used for inputting the training data set of the current round into the health prediction model training, and obtaining an updated health prediction model when the initial parameters and the updated prediction parameters meet the convergence conditions.
As a further aspect of the present invention, the parameter updating unit further includes:
the gradient judging unit is used for comparing the calculated gradient data with the initial parameters of the health prediction model and judging whether the gradient data is updated or not;
the sampling exception unit is used for outputting a sampling exception signal when the gradient data is not updated;
and the data undersampling unit is used for increasing the crowd range of regularly acquired health data, increasing the health sample data acquired in the current round and inputting the health sample data to the original training data set again.
As a further aspect of the present invention, the user health detection module includes:
the abnormal identification unit is used for comparing the acquired current health data of the target user with a health index threshold value in the pre-stored health index database, identifying abnormal health data in the current health data and judging the abnormal state grade of the abnormal health data;
the abnormal item counting unit is used for counting the number of abnormal health data in the current health data, carrying out classified counting according to health examination items and obtaining a classified counting result of the abnormal items;
and the abnormal priority processing unit is used for sorting the abnormal health data in the abnormal item classification statistical result according to the priority according to different priority parameters of the health examination items.
As a further aspect of the present invention, the health record-based body evaluation management system further includes a case analysis module, configured to receive abnormal health data in the abnormal item classification statistical results fed back by the abnormal priority processing unit, analyze the abnormal health data of the target user according to the pathological parameter data, and transmit an analysis result to at least one display terminal connected to the server.
As a further scheme of the present invention, the health file-based machine body evaluation management system further includes an early warning module, and the early warning module is configured to receive abnormal data information and prediction information exceeding a health index in a health prediction result sent by the machine body health evaluation module, send the abnormal data information and the prediction information exceeding the health index to at least one user terminal in communication connection with the server, and send an early warning notification.
The technical scheme provided by the invention has the following beneficial effects:
the invention provides a health file-based organism evaluation management system, which is based on the acquisition of current health data of a target user by health check equipment; calling a health file corresponding to a target user, detecting whether abnormal data information exists in the current health data compared with health indexes, and generating a health detection result; inputting the current health data with abnormal data information removed and a health file corresponding to a target user into a health prediction model to obtain a health prediction result; and evaluating the organism health level of the target user according to the health detection result and the health prediction result, and displaying abnormal data information and prediction information exceeding the health index in the health prediction result in a priority arrangement manner. By the method, the current health data can be predicted according to the current health data and the health archive information of the target user to obtain the corresponding visual organism evaluation result, so that the target user can more visually acquire the self health change, and the target user can more visually feel the evaluation effect.
These and other aspects of the invention are apparent from and will be elucidated with reference to the embodiments described hereinafter. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention. In the drawings:
fig. 1 is a schematic view of an application scenario of the health profile-based body evaluation management system according to an embodiment of the present invention.
Fig. 2 is a block diagram of a health file-based body evaluation management system according to an embodiment of the present invention.
Fig. 3 is a block diagram illustrating a structure of a predictive model training module in a health profile-based body assessment management system according to an embodiment of the present invention.
FIG. 4 is a flowchart of a health profile-based body assessment management system according to an embodiment of the present invention.
Fig. 5 is a block diagram illustrating a user health detection module in a health file-based body evaluation management system according to an embodiment of the invention.
Fig. 6 is a system block diagram of an early warning module in a health file-based body assessment management system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The technical solutions in the exemplary embodiments of the present invention will be clearly and completely described below with reference to the drawings in the exemplary embodiments of the present invention, and it is obvious that the described exemplary embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a health file-based body evaluation management system according to an embodiment of the present invention. The health-profile-based body evaluation management system is applied to the server 10, and performs body evaluation management operations through application software installed in the server 10. In the embodiment of the present invention, the server 10 and the health check device 20 include at least one physical examination device for checking at least one health check item, and are configured to transmit the current health data of the target user collected during the health check to the server 10 in real time. The server 10 is connected to at least one display terminal 30, and the display terminal 30 is used for displaying the analysis result transmitted to the server 10. The server 10 is also in communication connection with at least one user terminal 40, and is configured to send the prediction information or the assessment information to the user terminal 40, and send an early warning notification to the user terminal 40 of the target user, so as to view the body assessment information in time.
In some embodiments, the medical health check device 20 may be any type of medical health check device 20 that performs a health check, such as: nuclear magnetic resonance instrument, CT detector, doppler diagnostic instrument, electronic sphygmomanometer, body weight scale, color Doppler instrument, etc. The display terminal 30 is a display device that can be used to communicate with the server 10, for example: a display screen, a display panel, and a computer, a tablet, etc., and the user terminal 40 may be a device that is used on the user side to communicate with the server 10, such as a desktop computer, a notebook computer, a tablet computer, or a mobile phone, etc.
Specifically, the embodiments of the present application will be further explained below with reference to the drawings.
Referring to fig. 2, fig. 2 is a block diagram of a health profile-based body evaluation management system according to an embodiment of the present invention, and an embodiment of the present invention provides a health profile-based body evaluation management system including a health data collection module 100, a health profile retrieval module 200, a user health detection module 300, a user health prediction module 400, and a body health evaluation module 500.
In this embodiment, the health data collection module 100 is configured to collect current health data of a target user based on a health check of the target user by the health check device 20.
When the health check device 20 checks a target user, preferably, the health check device 20 is provided with a detection query system for detecting the target user, the detection query system is composed of redundant sensing devices mounted on the health check device 20, when at least one physical examination device of the health check device 20 is operated for checking at least one health check item, the physical examination device starts a target user detection query mode for querying whether the target user waits for the check operation, when the detection query judges whether the user waits for the check operation, the physical examination device is started to obtain the temperature of an item examination area by starting a human body infrared sensor, the temperature of the item examination area is compared with a preset temperature, if the temperature is greater than or equal to the preset temperature, the user is judged to wait for the check operation, the physical examination device is started to perform the check operation, and the collected current health data of the target user is transmitted to the server 10 of the body assessment management system in real time.
Illustratively, the detection and query system starts a human body infrared sensor to acquire the temperature of an item inspection area, wherein the temperature is greater than or equal to a preset temperature (35 ℃), the detection and query system judges that a user waits for inspection operation, starts the physical examination equipment to perform inspection operation, and transmits the acquired current health data of the target user to a server 10 of the body evaluation management system in real time; when the detection and query system starts the human body infrared sensor to acquire the temperature of the item inspection area, which is lower than the preset temperature (35 ℃), the detection and query system judges that no user waits for the inspection operation and does not start the inspection operation.
Referring to fig. 2, in the present embodiment, the health profile retrieving module 200 is configured to retrieve a health profile corresponding to a target user to which the current health data belongs from a pre-stored health profile repository.
Prior to checking the current health data of the target user by the health check device 20, basic information of the registered user is also included, including basic information of the target user's name, age, contact means reserved for keeping a communication, and the like. The two-dimensional code corresponding to each health examination device 20 is generated by printing based on the health examination flow, and before each physical examination device is triggered to perform the examination operation, the code scanning registration operation of the user information is performed.
Preferably, the health check device 20 may be a medical check device used in a hospital for checking a lesion area of a patient, or a physical examination device used by a health examination center, and the current health data of the target user can be acquired after the target user is checked by the health check device 20 based on the information code scanning registration.
The server 10 of the body evaluation management system, upon receiving the current health data from the health check device 20, may obtain a health profile corresponding to the target user to which the current health data belongs from the health profile repository. The health archive is a group of user health information storage databases pre-stored in the memory of the server 10, in which a health archive corresponding to each target user is stored, the health archive is used for recording the health assessment process of the target user, and the health archive includes personal information corresponding to the target user, and the personal information includes, but is not limited to, name, identity card number, age, and contact information of the target user.
In this embodiment, the user health detection module 300 is configured to detect whether the current health data of the target user has abnormal data information compared with the health index according to the acquired current health data of the target user and a pre-stored health index database, and generate a health detection result.
After the current health data of the target user are obtained, the current health data are distributed into a corresponding health examination item list according to data types, each item of data of a health examination item is compared with a health index of the item, data beyond the range of the health index are marked as abnormal data information, the abnormal data information is exported, and a health detection result is generated.
In this embodiment, the user health prediction module 400 is configured to input the current health data with the abnormal data information removed and the health profile corresponding to the target user into a health prediction model to obtain a health prediction result.
After the abnormal data information is exported, keeping the conventional physical examination data meeting the health index requirement in the health examination item list, at the moment, pouring the historical health data of the corresponding examination items recorded by the health record corresponding to the target user into the health examination item list, arranging each item of examination data according to different time sequences, then forming the current health data with the abnormal data information removed and the health record corresponding to the target user, inputting the current health data and the health record into the health prediction model, obtaining a health prediction result based on the time sequence, and a health prediction result of the user in a preset time after the current health data.
In this embodiment, the physical health assessment module 500 is configured to assess a physical health level of the target user according to the health detection result and the health prediction result, and preferentially display abnormal data information and prediction information exceeding a health index in the health prediction result.
When the health of the organism is evaluated, the health prediction result is compared with the health indexes of the health examination items again, the prediction information exceeding the health indexes in the health prediction result is extracted and combined with the abnormal data information detected by the user health detection module 300, the health grade of the organism is divided according to the number of the abnormal examination items and the standard that each abnormal data information exceeds the health indexes, and the abnormal data information and the prediction information exceeding the health indexes in the health prediction result are displayed in a priority mode.
Preferably, in some embodiments, the priority of the abnormal health check item processing is further used for adjusting the color value of the scale display abnormal health check item.
For example, when the body health level is classified, the high abnormal health level, the medium abnormal health level, the low abnormal health level, and the normal health level are classified. It is assumed that the health ranks of all the health examination items are displayed in the priority display according to different color values.
Illustratively, the color values of the health examination items in the high abnormal health grade mode are adjusted to RGB (255, 0), i.e., red, and when the target user performs the operation of viewing the screen, the prioritized abnormal data information in the high abnormal health grade and the health prediction result can be highlighted and viewed at the first time.
Illustratively, the color values of the health examination items in the moderate abnormal health grade mode are adjusted to RGB (255, 0), i.e., yellow, and when the target user performs the operation of viewing the screen, the abnormal data information and the health prediction result in the moderate abnormal health grade can be reminded to be viewed at the first time.
Illustratively, adjusting the color value of the health check item in the low abnormal health grade mode to RGB (0, 255, 0), i.e. yellow, when the target user performs the operation of viewing the screen, the abnormal data information and the health prediction result in the low abnormal health grade can be noticed at the first time.
For example, the health check item in the normal mode displays the original display screen color value.
In some embodiments, referring to fig. 3, the body evaluation management system further comprises:
the prediction model training module 410 is configured to perform preprocessing according to historical health sample data to obtain a training data set, a verification data set, and a test data set, and train and evaluate the established initial prediction model to obtain a trained health prediction model.
In this embodiment, the prediction model training module 410 further includes:
a model establishing unit 411, configured to establish an initial prediction model, where the initial prediction model includes an initial data classification network and an initial health prediction network, and an output end of the initial data classification network is connected to an input end of the initial health prediction network; the classification network training unit is used for performing health examination item classification and labeling on the training data set to obtain health item labeling data, and training the initial data classification network to obtain a target health examination item classification model;
a health prediction network training unit 412, configured to perform health examination result labeling on the training data set according to the health record, train the initial health prediction network, obtain a target health prediction network model,
and the prediction model obtaining unit 413 is configured to obtain a health prediction model according to the combination of the target health examination item classification model and the target health prediction network model.
In this embodiment, the prediction model training module 410 further includes:
a regular data input unit 414, configured to input regularly acquired health data into an original training data set, so as to obtain a training data set of the current round;
a parameter updating unit 415, configured to calculate gradient data required for the current update based on the initial parameter of the health prediction model, and update the gradient data to obtain an updated prediction parameter;
a model updating unit 416, configured to input the training data set of the current round to the health prediction model training, and obtain an updated health prediction model when the initial parameter and the updated prediction parameter satisfy a convergence condition.
In this embodiment, the parameter updating unit 415 further includes:
a gradient determination unit 417, configured to compare the calculated gradient data with the initial parameters of the health prediction model, and determine whether the gradient data is updated;
a sampling exception unit 418 for outputting a sampling exception signal when the gradient data is not updated;
and the data undersampling unit 419 is used for increasing the crowd range of the regularly acquired health data, increasing the health sample data acquired in the current round, and inputting the health sample data into the original training data set again.
Referring to fig. 4, the health record-based body evaluation management system according to the embodiment of the present invention, when performing body evaluation management, includes the following steps S10 to S50:
s10, performing health examination on a target user based on health examination equipment, and acquiring current health data of the target user;
s20, calling a health file corresponding to a target user to which the current health data belongs from a pre-stored health file library;
step S30, detecting whether abnormal data information exists in the current health data of the target user compared with health indexes or not according to the acquired current health data of the target user and a pre-stored health index database, and generating a health detection result;
s40, inputting the current health data with abnormal data information removed and a health file corresponding to a target user into a health prediction model to obtain a health prediction result;
and S50, evaluating the organism health level of the target user according to the health detection result and the health prediction result, and preferentially arranging and displaying abnormal data information and prediction information exceeding the health index in the health prediction result.
In some embodiments, referring to fig. 5, the user health detection module 300 includes:
an abnormal identification unit 301, configured to compare the acquired current health data of the target user with a health index threshold in the pre-stored health index database, identify abnormal health data in the current health data, and determine an abnormal state level of the abnormal health data;
an abnormal item counting unit 302, configured to count the number of abnormal health data in the current health data, perform classification counting according to health examination items, and obtain a classification counting result of an abnormal item;
the abnormal priority processing unit 303 is configured to sort the abnormal health data in the abnormal item classification statistical result according to the priority of the health check item according to different priority parameters.
In some embodiments, referring to fig. 6, the health-profile-based body evaluation management system further includes a case analysis module 600, configured to receive abnormal health data in the abnormal item classification statistical results fed back by the abnormal priority processing unit 303, analyze the abnormal health data of the target user according to the pathological parameter data, and transmit the analysis result to at least one display terminal 30 connected to the server 10.
In an embodiment of the present invention, the body evaluation management system further includes an early warning module 700, and the early warning module 700 is configured to receive abnormal data information and prediction information exceeding a health index in a health prediction result sent by the body health evaluation module 500, send the abnormal data information and the prediction information exceeding the health index to at least one user terminal 40 in communication connection with the server 10, and send an early warning notification.
In summary, the present invention provides a health profile-based body assessment management system, which collects current health data of a target user based on a health check device 20; calling a health file corresponding to a target user, detecting whether abnormal data information exists in the current health data compared with health indexes, and generating a health detection result; inputting the current health data with abnormal data information removed and a health file corresponding to a target user into a health prediction model to obtain a health prediction result; and evaluating the organism health grade of the target user according to the health detection result and the health prediction result, and displaying abnormal data information and prediction information exceeding the health index in the health prediction result in a priority arrangement mode. By the method, the current health data can be predicted according to the current health data and health file information of the target user to obtain a corresponding visual organism evaluation result, so that the target user can more visually acquire the self health change, and the target user can more visually feel the evaluation effect.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A health profile-based physical assessment management system, the system comprising:
the health data acquisition module is used for carrying out health examination on a target user based on health examination equipment and acquiring current health data of the target user;
the health file calling module is used for calling a health file corresponding to a target user to which the current health data belongs in a pre-stored health file library;
the user health detection module is used for detecting whether the current health data of the target user has abnormal data information compared with the health indexes or not according to the acquired current health data of the target user and a pre-stored health index database and generating a health detection result;
the user health prediction module is used for inputting the current health data with abnormal data information removed and the health file corresponding to the target user into the health prediction model to obtain a health prediction result;
and the body health evaluation module is used for evaluating the body health grade of the target user according to the health detection result and the health prediction result and displaying the abnormal data information and the prediction information exceeding the health index in the health prediction result in a priority arrangement mode.
2. The health-profile-based body assessment management system according to claim 1, wherein said health examination device comprises at least one physical examination device for examining at least one health examination item, said physical examination device is communicatively connected to said server of said body assessment management system for transmitting the current health data of said target user collected during the health examination to the server in real time.
3. The health profile-based organism assessment management system according to claim 2, wherein the health profile repository and the health index database are pre-stored in the memory of the server, and the server is further configured to obtain the health profile repository and the health index database stored in the cloud database through networking.
4. The health profile-based physical evaluation management system of claim 1, further comprising:
and the prediction model training module is used for preprocessing the historical health sample data to obtain a training data set, a verification data set and a test data set, and training and evaluating the established initial prediction model to obtain a trained health prediction model.
5. The health profile-based physical assessment management system according to claim 4, wherein said predictive model training module further comprises:
the model establishing unit is used for establishing an initial prediction model, wherein the initial prediction model comprises an initial data classification network and an initial health prediction network, and the output end of the initial data classification network is connected with the input end of the initial health prediction network; the classification network training unit is used for performing health examination item classification and labeling on the training data set to obtain health item labeling data, and training the initial data classification network to obtain a target health examination item classification model;
a health prediction network training unit used for marking the health examination result of the training data set according to the health file, training the initial health prediction network to obtain a target health prediction network model,
and the prediction model acquisition unit is used for obtaining a health prediction model according to the combination of the target health examination item classification model and the target health prediction network model.
6. The health profile-based physical assessment management system according to claim 5, wherein said predictive model training module further comprises:
the regular data input unit is used for inputting the regularly acquired health data into an original training data set to obtain a training data set of the current round;
the parameter updating unit is used for calculating gradient data required by the updating of the current round based on the initial parameters of the health prediction model and updating the gradient data to obtain updated prediction parameters;
and the model updating unit is used for inputting the training data set of the current round into the health prediction model training and obtaining an updated health prediction model when the initial parameters and the updated prediction parameters meet the convergence conditions.
7. The health profile-based organism evaluation management system according to claim 6, wherein the parameter update unit further comprises:
the gradient judging unit is used for comparing the calculated gradient data with the initial parameters of the health prediction model and judging whether the gradient data are updated or not;
the sampling exception unit is used for outputting a sampling exception signal when the gradient data is not updated;
and the data undersampling unit is used for increasing the crowd range of regularly acquired health data, increasing the health sample data acquired in the current round and inputting the data to the original training data set again.
8. The health profile-based physical evaluation management system of any one of claims 1-6, wherein the user health detection module comprises:
the abnormal identification unit is used for comparing the acquired current health data of the target user with a health index threshold value in the pre-stored health index database, identifying abnormal health data in the current health data and judging the abnormal state grade of the abnormal health data;
the abnormal item counting unit is used for counting the number of abnormal health data in the current health data, carrying out classified counting according to health examination items and obtaining a classified counting result of the abnormal items;
and the abnormal priority processing unit is used for sorting the abnormal health data in the abnormal item classification statistical result according to the priority according to different priority parameters of the health examination items.
9. The health profile-based body evaluation management system of claim 8, further comprising a case analysis module for receiving abnormal health data in the abnormal item classification statistical results fed back from the abnormal priority processing unit, analyzing the abnormal health data of the target user according to the pathological parameter data, and transmitting the analysis result to at least one display terminal connected to the server.
10. The health-record-based body assessment management system according to claim 9, further comprising an early warning module, wherein the early warning module is configured to receive abnormal data information and prediction information exceeding health indicators in the health prediction results sent by the body health assessment module, send the abnormal data information and the prediction information exceeding health indicators to at least one user terminal in communication connection with the server, and send an early warning notification.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116344050A (en) * | 2023-03-27 | 2023-06-27 | 华中科技大学同济医学院附属协和医院 | Evaluation method based on multidimensional health management model |
| CN116989820A (en) * | 2023-09-27 | 2023-11-03 | 厦门精图信息技术有限公司 | Intelligent navigation system and method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116344050A (en) * | 2023-03-27 | 2023-06-27 | 华中科技大学同济医学院附属协和医院 | Evaluation method based on multidimensional health management model |
| CN116344050B (en) * | 2023-03-27 | 2023-10-10 | 华中科技大学同济医学院附属协和医院 | Evaluation method based on multidimensional health management model |
| CN116989820A (en) * | 2023-09-27 | 2023-11-03 | 厦门精图信息技术有限公司 | Intelligent navigation system and method |
| CN116989820B (en) * | 2023-09-27 | 2023-12-05 | 厦门精图信息技术有限公司 | Intelligent navigation system and method |
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