CN111223548A - Method and device for pushing guidance resource information, storage medium and computer equipment - Google Patents
Method and device for pushing guidance resource information, storage medium and computer equipment Download PDFInfo
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses a method and a device for pushing guidance resource information, a storage medium and computer equipment, relates to the technical field of chronic disease intervention, and mainly aims to classify according to the disease state of a user and push the guidance resource information for the user in a targeted manner, so that the matching degree of the guidance resource information and a chronic disease patient is improved. The method comprises the following steps: acquiring health data of a user; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing. The method and the device are suitable for guiding the pushing of the resource information.
Description
Technical Field
The invention relates to the field of chronic disease intervention, in particular to a method and a device for pushing guidance resource information, a storage medium and computer equipment.
Background
With the continuous development of medical science and technology and the improvement of health consciousness, people gradually switch from relying on drug therapy to exercise rehabilitation therapy for preventing and managing chronic diseases. The rehabilitation therapy is carried out by different motion modes aiming at different chronic patients, and good curative effect can be achieved. However, the doctor makes a targeted exercise scheme for questionnaire survey and health monitoring of the patient with chronic diseases, which not only aggravates the work of the doctor, but also greatly limits the time for chronic disease management of the user and increases the management cost.
At present, a chronic disease management system of a mobile terminal can be used for establishing an exercise rehabilitation scheme for chronic patients on line. However, most of the existing chronic disease management systems only make an exercise rehabilitation scheme according to the disease type of the user, and ignore the difference between the affected individuals, so that the generated exercise rehabilitation scheme is lack of pertinence and is not matched with the chronic disease patient.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, a storage medium, and a computer device for pushing guidance resource information, and mainly aims to improve the matching degree between guidance resource information and a chronic patient by classifying according to the disease state of a user and pushing the guidance resource information for the user in a targeted manner.
According to an aspect of the present invention, there is provided a method for pushing guidance resource information, including:
acquiring health data of a user;
analyzing the health data and determining a label corresponding to the health data;
and searching for guidance resource information matched with the health data according to the label, and pushing.
Optionally, the analyzing the health data and determining the label corresponding to the health data includes:
identifying a classification label in the health data;
and determining a state label according to the grading result of the health data.
Further, the determining a status label according to the scoring result of the health data includes:
and counting the scoring result of the health data according to a preset statistical algorithm, and determining the state label of the health data.
Further, the searching for guidance resource information matched with the health data according to the label and pushing include:
searching guidance resource information matched with the health data according to the classification label and the state label, and pushing according to a preset pushing strategy, wherein the guidance resource information is motion video information.
Further, the method further comprises:
and acquiring the completion state data of the guidance resource information input by the user, and updating the scoring result and/or the state label.
Further, the method further comprises:
establishing one-to-many corresponding relation among the classification labels, the state labels and the guidance resource information;
and updating the corresponding relation according to the completion state data.
Further, the acquiring health data of the user comprises:
and receiving questionnaire information input by the user, and extracting selected health data from the questionnaire information.
According to a second aspect of the present invention, there is provided a push apparatus for guiding resource information, including:
the acquisition unit is used for acquiring health data of a user;
the analysis unit is used for analyzing the health data and determining a label corresponding to the health data;
and the searching and pushing unit is used for searching the guidance resource information matched with the health data according to the label and pushing the guidance resource information.
Optionally, the parsing unit includes:
an identification module for identifying a classification tag in the health data;
and the determining module is used for determining the state label according to the grading result of the health data.
Further, the determining module is specifically configured to determine a status label according to the scoring result of the health data.
Further, the search pushing unit is specifically configured to search guidance resource information matched with the health data according to the classification tag and the state tag, and push the guidance resource information according to a preset pushing policy, where the guidance resource information is motion video information.
Further, the apparatus further comprises:
and the updating unit is used for acquiring the completion state data of the guidance resource information input by the user and updating the scoring result and/or the state label.
Further, the apparatus further comprises:
and the establishing unit is used for establishing one-to-many corresponding relation among the classification label, the state label and the guidance resource information.
Further, the obtaining unit is specifically further configured to receive questionnaire information entered by the user, and extract selected health data from the questionnaire information.
According to a third aspect of the present invention, there is provided a storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform the steps of: acquiring health data of a user; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing.
According to a fourth aspect of the present invention, there is provided a computer device comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus, and the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to perform the following steps: acquiring health data of a user; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing.
Compared with the prior art that a chronic disease management system at a mobile terminal can establish an exercise rehabilitation scheme for chronic patients on line, the method and the device can obtain health data of the users; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing. Therefore, the guiding resource information can be classified according to the disease state of the user and pushed for the user in a targeted manner, so that the matching degree of the guiding resource information and the chronic disease patient is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 shows a flowchart of a method for guiding pushing resource information according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for directing pushing resource information according to an embodiment of the present invention;
FIG. 3 is a block diagram illustrating an embodiment of a computer device according to the present invention;
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As described in the background, currently, exercise rehabilitation programs can be made online for patients with chronic diseases by a chronic disease management system of a mobile terminal. However, most of the existing chronic disease management systems only make an exercise rehabilitation scheme according to the disease types of users, and ignore the difference among the affected individuals, so that the generated exercise rehabilitation scheme lacks pertinence and is not highly matched with chronic disease patients
In order to solve the above problem, an embodiment of the present invention provides a method for pushing guidance resource information, where as shown in fig. 1, the method includes:
101. health data of a user is acquired.
The health data of the user can be obtained information of the sex, the age, the height, the weight, the standing time of one leg, the sitting time of five times, the pace and the like of the user; the user health data may be disease state data of the user, and for example, state information such as whether the user can lift or pick up a 4.5kg object or can stand up from a chair or a bedside without any assistance for sarcopenia may be used as the user health data.
102. And analyzing the health data and determining a label corresponding to the health data.
The labels corresponding to the health data can be used for classifying users so as to facilitate personalized pushing of different guidance resource information, and the labels can correspond to different guidance resource information, for example, users with sarcopenia different disease process labels can be divided into a group, and guidance resource information corresponding to the sarcopenia labels is pushed to the group. Specifically, the obtained health data is associated with the corresponding tags to obtain the tags corresponding to each health data, so that the corresponding guidance resource information can be conveniently pushed according to the tags, and the pushed guidance resource information is more targeted. For example, the acquired health data may be that it cannot be resolved with assistance from a chair or bedside and may be determined to be tagged as a debilitating bedridden patient.
103. And searching for guidance resource information matched with the health data according to the label, and pushing.
Specifically, after the label corresponding to the health data is determined, guidance resource information corresponding to the label may be searched locally according to the label, and the searched guidance resource information is pushed to the user. For example, if the label of the user health data is determined to be a patient in a weak bed, guidance resource information suitable for the patient in the weak bed is searched in a local database according to the label, and the guidance resource information is pushed to the user.
Further, in order to better describe the above pushing process of the guidance resource information, as a refinement and extension to the above embodiment, the embodiment of the present invention provides several alternative embodiments, but is not limited to this, and specifically, the following embodiments are provided:
in an optional embodiment of the present invention, the step 102 may specifically include: identifying a classification label in the health data; and determining a state label according to the grading result of the health data.
The classification labels are used for marking different classification categories of symptom stages, and specific features in the health data are marked and configured in advance. For example, if the specific feature in the health data is that a 4.5kg object cannot be lifted or picked up, the classification label can be determined to be a semi-incapacitated or incapacitated label by analyzing the specific feature. The status label is a specific status in different symptom stages under the classification label, and can be determined according to the scoring result of the health data, and the embodiment of the invention is not particularly limited.
For the embodiment of the present invention, the method may further include: and counting the scoring result of the health data according to a preset statistical algorithm, and determining the state label of the health data.
Wherein the status label can be determined according to the status label and the scoring result of the health data. The preset statistical algorithm may be an algorithm for determining a score corresponding to an option selected by the user according to the option selected by the user, for example, when the health data is acquired, an algorithm for sending "can you lift or pick up 4.5kg of an object? Energy (0 min); slightly difficult (1 point); if the obtained score result is 2 points, the state label can be determined to be the upper limb weakness. In addition, the preset statistical algorithm may also be used to determine the status label according to the sum of scores corresponding to each item of health data selected by the user. For example, the multiple items of health data survey information on sarcopenia and the corresponding scores are sent to the user, the score threshold value of sarcopenia is set to 4, and if the sum of the scores of the health data of the user is greater than 4, the status label can be determined as sarcopenia.
For the embodiment of the present invention, the step 103 may specifically include: searching guidance resource information matched with the health data according to the classification label and the state label, and pushing according to a preset pushing strategy, wherein the guidance resource information is motion video information.
The motion video information can be warm-up video information, motion video information and relaxation video information respectively, and when guidance resource information is pushed to a user, the guidance resource information at least comprises the warm-up video information, the motion video information and the relaxation video information respectively. In addition, the guidance resource information can be pushed according to a preset pushing strategy, and due to the difference of the health data of the users, the sequence and the number of the motion video information in the pushed guidance resource information are different, and different guidance resource information combinations can be pushed to the users according to the preset pushing strategy and aiming at different classification labels and state labels, so that the matching degree of the guidance resource information and the users is improved. Specifically, according to the classification tag and the status tag, guidance resource information matched with the health data is searched locally, the correspondence between the tag and the health data may be stored locally, and the searched guidance resource information is pushed to the user.
In an optional embodiment of the present invention, to obtain the exercise completion status of the user, the method may further include: and acquiring the completion state data of the guidance resource information input by the user, and updating the scoring result and/or the state label. The completion status data may include a completion time, or an option and a reason for failure to complete. For example, the acquiring user is at 19: 30, storing the data of the warming-up exercise in a completion state data table corresponding to the user; and if the data which are input by the user and cannot finish the warm-up exercise within 30min are acquired because the arm cannot be lifted, updating the state label of the user to be the upper limb weakness so as to push more suitable guidance resource information to the user. Specifically, completion state data of the guidance resource information entered by the user is acquired, and the scoring result and/or the state label are/is updated according to the completion state data.
In an optional embodiment of the present invention, in order to search the guidance resource information through the tag, the method may further include: establishing one-to-many corresponding relation among the classification labels, the state labels and the guidance resource information; and updating the corresponding relation according to the completion state data.
Specifically, a one-to-many correspondence relationship between the classification label, the status label and the guidance resource information is established, that is, each classification label and status label is only associated with unique guidance resource information, and each guidance resource information may be associated with a plurality of status labels. For example, the eight pieces of guidance resource information can be respectively associated with classification labels, such as pre-asthenia period and mid-asthenia period, and can also be associated with status labels, such as upper limb weakness; and the classification label and the state label are only uniquely associated with the eight-section brochure. It should be noted that the guidance resource information may also be set as general guidance resource information, that is, the guidance resource information is not associated with any tag, and is not limited by the tag when pushing, and may be added according to a preset pushing policy.
In an optional embodiment of the present invention, in order to facilitate obtaining the user health data, the step 101 may further include: and receiving questionnaire information input by the user, and extracting selected health data from the questionnaire information.
Wherein the information entered by the user may be obtained via a questionnaire, which may comprise information of the user's gender, age, height, weight, etc., and may further comprise a SARC-F questionnaire for obtaining disease symptom information, such as sarcopenia SARC-F questionnaire, which may comprise questions whether a 4.5kg object can be lifted or picked up, or whether the user can stand up from a chair or bedside without any assistance, etc., from which selected health data is extracted. The questions in the questionnaire may be questions related to symptoms of a disease, a score threshold for a disease may be set, and if the sum of the score results of the acquired health data exceeds the score threshold for the disease, it may be confirmed that the user is at risk for the disease.
In an optional embodiment of the present invention, in order to improve an effect of the user performing the exercise according to the guidance resource information and prevent damage caused by an incorrect exercise mode, the step 101 may further include: and distributing instructor information matched with the instructor resource information to the user according to the health data.
The instructor information may include doctor information, caregiver information, and the like, a mapping relationship between the instructor resource information and the instructor information may be locally stored, and the instructor may be configured to provide a correct movement mode for a user. Specifically, after health data of a user is acquired, instructor information matched with the instructor resource information is searched locally according to the health data, and a mapping relation between the user information and the instructor information is established. For example, the health data of the user is analyzed to obtain the sarcopenia label, the corresponding guidance resource information and the corresponding guidance personnel information can be found according to the label, so that the user can conveniently communicate with the guidance personnel to obtain corresponding technical support when exercising according to the guidance resource information, and the damage caused by improper exercise or excessive exercise is avoided.
Compared with the prior art that a chronic disease management system at a mobile terminal can establish an exercise rehabilitation scheme for chronic patients on line, the method and the device can obtain health data of the users; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing. Therefore, the guiding resource information can be classified according to the disease state of the user and pushed for the user in a targeted manner, so that the matching degree of the guiding resource information and the chronic disease patient is improved.
Further, as a specific implementation of fig. 1, an embodiment of the present invention provides a device for guiding pushing resource information, and as shown in fig. 2, the device includes: an acquisition unit 21, a parsing unit 22 and a lookup push unit 23.
The acquiring unit 21 may be configured to acquire health data of a user;
the analyzing unit 22 may be configured to analyze the health data and determine a label corresponding to the health data;
the search pushing unit 23 may be configured to search guidance resource information matched with the health data according to the tag, and push the guidance resource information.
Further, the parsing unit 22 includes: an identification module 221 and a determination module 222.
The identification module 221, which may be configured to identify a classification label in the health data;
the determining module 222 may be configured to determine a status label according to the scoring result of the health data.
Further, the determining module 222 may be specifically configured to determine a status label according to the scoring result of the health data.
Further, the search pushing unit 23 may be specifically configured to search guidance resource information matched with the health data according to the classification tag and the state tag, and push the guidance resource information according to a preset pushing policy, where the guidance resource information is motion video information.
Further, the apparatus further comprises: an updating unit 24 and a building unit 25.
The updating unit 24 may be configured to obtain completion status data of the guidance resource information entered by the user, and update the scoring result and/or the status label.
Further, the establishing unit 25 may be configured to establish a one-to-many correspondence relationship between the classification label, the status label and the guidance resource information.
Further, the obtaining unit 21 may be specifically configured to receive questionnaire information entered by the user, and extract selected health data from the questionnaire information.
Based on the method shown in fig. 1, correspondingly, an embodiment of the present invention further provides a storage medium, where the storage medium may include a high-speed RAM memory, and may further include a non-volatile memory (non-volatile memory), such as at least one disk memory, where the storage medium has at least one executable instruction stored therein, where the executable instruction causes a processor to perform the following steps: acquiring health data of a user; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing.
Based on the above-mentioned embodiments of the method shown in fig. 1 and the apparatus shown in fig. 2, the embodiment of the present invention further provides a computer device, as shown in fig. 3, including a processor (processor)31, a communication Interface (communication Interface)32, a memory (memory)33, and a communication bus 34. Wherein: the processor 31, the communication interface 32, and the memory 33 communicate with each other via a communication bus 34. A communication interface 34 for communicating with network elements of other devices, such as clients or other servers. The processor 31 is configured to execute a program, and may specifically execute the relevant steps in the foregoing pushing embodiment of the guidance resource information. In particular, the program may include program code comprising computer operating instructions. The processor 31 may be a central processing unit CPU or a Specific integrated circuit asic (application Specific integrated circuit) or one or more integrated circuits configured to implement an embodiment of the present invention.
The terminal comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs. And a memory 33 for storing a program. The memory 33 may comprise a high-speed RAM memory, and may further include a non-volatile memory (non-volatile memory), such as at least one disk memory. The program may specifically be adapted to cause the processor 31 to perform the following operations: acquiring health data of a user; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing.
According to the technical scheme, the health data of the user are obtained; analyzing the health data and determining a label corresponding to the health data; and searching for guidance resource information matched with the health data according to the label, and pushing. Therefore, the guiding resource information can be classified according to the disease state of the user and pushed for the user in a targeted manner, so that the matching degree of the guiding resource information and the chronic disease patient is improved.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method for pushing guidance resource information is characterized by comprising the following steps:
acquiring health data of a user;
analyzing the health data and determining a label corresponding to the health data;
and searching for guidance resource information matched with the health data according to the label, and pushing.
2. The method of claim 1, wherein parsing the health data and determining the label corresponding to the health data comprises:
identifying a classification label in the health data;
and determining a state label according to the grading result of the health data.
3. The method of claim 2, wherein determining a status label based on the health data score comprises:
and counting the scoring result of the health data according to a preset statistical algorithm, and determining the state label of the health data.
4. The method according to claim 2 or 3, wherein the searching for guidance resource information matching with the health data according to the tag and pushing comprises:
searching guidance resource information matched with the health data according to the classification label and the state label, and pushing according to a preset pushing strategy, wherein the guidance resource information is motion video information.
5. The method of claim 4, further comprising:
and acquiring the completion state data of the guidance resource information input by the user, and updating the scoring result and/or the state label.
6. The method of claim 5, further comprising:
establishing one-to-many corresponding relation among the classification labels, the state labels and the guidance resource information;
and updating the corresponding relation according to the completion state data.
7. The method of any one of claims 1-6, wherein the obtaining health data of the user comprises:
and receiving questionnaire information input by the user, and extracting selected health data from the questionnaire information.
8. A push apparatus for directing resource information, comprising:
the acquisition unit is used for acquiring health data of a user;
the analysis unit is used for analyzing the health data and determining a label corresponding to the health data;
and the searching and pushing unit is used for searching the guidance resource information matched with the health data according to the label and pushing the guidance resource information.
9. A storage medium having a computer program stored thereon, the storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the method for directing the pushing of resource information according to any one of claims 1-7.
10. A computer device comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus, and the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the guidance resource information pushing according to any one of claims 1-7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112489747A (en) * | 2020-12-14 | 2021-03-12 | 平安国际智慧城市科技股份有限公司 | Chronic patient supervision method, device, equipment and medium based on analysis model |
| CN112700836A (en) * | 2021-01-05 | 2021-04-23 | 北京左医科技有限公司 | Follow-up information based information pushing method and device and storage medium |
| CN113593711A (en) * | 2021-08-03 | 2021-11-02 | 中电健康云科技有限公司 | Health management information pushing method based on international disease classification coding |
| CN113934901A (en) * | 2021-12-17 | 2022-01-14 | 北京因数健康科技有限公司 | Information matching method, device, equipment, system and medium based on behavior cognition |
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| CN112489747A (en) * | 2020-12-14 | 2021-03-12 | 平安国际智慧城市科技股份有限公司 | Chronic patient supervision method, device, equipment and medium based on analysis model |
| CN112700836A (en) * | 2021-01-05 | 2021-04-23 | 北京左医科技有限公司 | Follow-up information based information pushing method and device and storage medium |
| CN112700836B (en) * | 2021-01-05 | 2022-01-28 | 北京左医科技有限公司 | Follow-up information based information pushing method and device and storage medium |
| CN113593711A (en) * | 2021-08-03 | 2021-11-02 | 中电健康云科技有限公司 | Health management information pushing method based on international disease classification coding |
| CN113934901A (en) * | 2021-12-17 | 2022-01-14 | 北京因数健康科技有限公司 | Information matching method, device, equipment, system and medium based on behavior cognition |
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