CN113076430B

CN113076430B - Data processing method and device based on medical problems

Info

Publication number: CN113076430B
Application number: CN202110420650.1A
Authority: CN
Inventors: 胡剑飞
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2021-04-19
Filing date: 2021-04-19
Publication date: 2024-01-30
Anticipated expiration: 2041-04-19
Also published as: CN113076430A

Abstract

The application discloses a data processing method based on medical problems, which can acquire a plurality of historical medical problems related to a first map entity and determine a first category to which the first map entity belongs. According to the pre-constructed problem map, determining the category of a map entity library to which a plurality of historical medical problems belong, and obtaining a first set, wherein the first set comprises a map entity library of a first category and at least one map entity library of a non-first category which has an association relationship with the map entity library of the first category. After the first set is obtained, the first device may further obtain standard medical questions corresponding to the respective atlas entity libraries of each category corresponding to the first atlas entity according to the historical medical questions corresponding to the respective atlas entity libraries of each category in the first set, and obtain answers corresponding to the standard medical questions corresponding to the respective atlas entity libraries of each category, so as to provide search results meeting user requirements for users.

Description

Data processing method and device based on medical problems

Technical Field

The present disclosure relates to the field of data processing, and in particular, to a data processing method and apparatus based on medical problems.

Background

Currently, when a user has a problem related to medical treatment, the user can search through a search engine, so that a corresponding solution is obtained. Among them, the "medical-related problem" may also be referred to as a "medical problem".

However, current search engines do not provide users with search results that meet the needs of the users. Accordingly, there is an urgent need for a solution to solve or improve the above problems.

Disclosure of Invention

The technical problem to be solved by the application is how to provide the search results meeting the user demands for the user when the user searches for the medical problem, and provides a data processing method and device based on the medical problem.

In a first aspect, an embodiment of the present application provides a data processing method based on a medical problem, the method including:

acquiring a plurality of historical medical problems related to a first map entity, and determining a first category to which the first map entity belongs;

determining the category of a map entity library to which part or all of the plurality of historical medical problems belong according to a pre-constructed problem map to obtain a first set, wherein the first set comprises a map entity library of a first category and at least one map entity library of a non-first category which has an association relationship with the map entity library of the first category; wherein: the problem map comprises map entity libraries of each category and association relation diagrams corresponding to the map entity libraries of any category;

According to the historical medical problems respectively corresponding to the map entity libraries of each category in the first set in the plurality of historical medical problems, obtaining standard medical problems respectively corresponding to the map entity libraries of each category corresponding to the first map entity;

obtaining and storing answers corresponding to standard medical questions respectively corresponding to the map entity library of each category, wherein the standard medical questions respectively corresponding to the map entity library of each category comprise first standard medical questions, and the answers corresponding to the first standard medical questions are used for providing search results for a user when the user triggers a search based on the medical questions matched with the first standard medical questions.

Optionally, the association relationship diagram corresponding to the map entity library of any category is: a relationship diagram constructed by taking any category of map entity library as a center and at least one non-first category of map entity library with an association relationship with the category of map entity library;

the at least one non-first category of atlas entity library belongs to the problem atlas.

Optionally, the method further comprises:

acquiring a corresponding relation between the first category of map entities and a second category of map entity library, wherein the problem map does not comprise the corresponding relation between the first category of map entity library and the second category of map entity library;

Obtaining standard medical problems corresponding to the second category of map entity library corresponding to the first map entity according to the historical medical problems corresponding to the second category of map entity library in the plurality of historical medical problems;

obtaining and storing answers corresponding to standard medical questions corresponding to the second category of map entity library, wherein the standard medical questions corresponding to the second category of map entity library comprise second standard medical questions, and the answers corresponding to the second standard medical questions are used for providing search results for a user when the user triggers a search based on the medical questions matched with the second standard medical questions.

Optionally, the method further comprises:

and adding the corresponding relation between the first class of map entities and the second class of map entity library into the problem map.

Optionally, the first set includes a third category of map entity library, and the obtaining the standard medical problem corresponding to each category of map entity library corresponding to the first map entity includes:

obtaining a plurality of standard medical questions corresponding to the third category of map entity library corresponding to the first map entity, wherein the plurality of standard medical questions comprise: standard medical questions corresponding to at least one class of atlas entity library in the second set, respectively, wherein: the second set is composed of at least one category of map entity library which is included in the problem map and has association relation with the third category of map entity library.

Optionally, the first set includes a third category of map entity library, and according to the historical medical problems of the plurality of historical medical problems respectively corresponding to each category of map entity library in the first set, obtaining standard medical problems respectively corresponding to each category of map entity library corresponding to the first map entity includes:

and obtaining the standard medical problems corresponding to the third category of map entity library corresponding to the first map entity according to the historical medical problems corresponding to the third category of map entity library in the plurality of historical medical problems and the corresponding relation between the standard medical problem sentence pattern and the question sentence pattern, which is pre-constructed and corresponds to the third category of map entity library.

Optionally, the method further comprises:

acquiring a first medical problem input by a user and related to the first map entity;

determining a first standard medical problem corresponding to the first medical problem;

and obtaining and outputting an answer corresponding to the first standard medical question.

Optionally, the determining the first standard medical problem corresponding to the first medical problem includes:

determining a map entity library of the category to which the first medical problem belongs, and acquiring at least one standard medical problem corresponding to the map entity library of the category to which the first medical problem belongs, wherein the at least one standard medical problem corresponds to the first map entity;

And determining a standard medical problem matched with the first medical problem in the at least one standard medical problem as the first standard medical problem.

obtaining the first standard medical problem according to the corresponding relation between the medical problem and the standard medical problem stored in advance, wherein: and when the first medical problem hits the medical problem in the corresponding relation, determining the standard medical problem in the corresponding relation as the first standard medical problem.

In a second aspect, embodiments of the present application provide a data processing apparatus based on medical problems, the apparatus including:

a first acquisition unit configured to acquire a plurality of historical medical problems associated with a first map entity;

a first determining unit, configured to determine a first category to which the first map entity belongs;

the second determining unit is used for determining the category of the map entity library to which part or all of the historical medical problems belong in the plurality of the historical medical problems according to the pre-constructed problem map to obtain a first set, wherein the first set comprises a map entity library of a first category and at least one map entity library of a non-first category which has an association relationship with the map entity library of the first category; wherein: the problem map comprises map entity libraries of each category and association relation diagrams corresponding to the map entity libraries of any category;

The second obtaining unit is used for obtaining standard medical problems corresponding to the map entity libraries of each category corresponding to the first map entity according to the historical medical problems corresponding to the map entity libraries of each category in the first set respectively in the plurality of historical medical problems;

a third obtaining unit, configured to obtain answers corresponding to standard medical questions respectively corresponding to the map entity libraries of each category, where the standard medical questions respectively corresponding to the map entity libraries of each category include a first standard medical question, and the answer corresponding to the first standard medical question is used to provide a search result for a user when the user triggers a search based on a medical question matched with the first standard medical question;

and the first storage unit is used for storing answers corresponding to the standard medical questions respectively corresponding to the map entity library of each category.

Optionally, the apparatus further includes:

a fourth obtaining unit, configured to obtain a correspondence between the first category of map entities and a second category of map entity libraries, where the problem map does not include a correspondence between the first category of map entity libraries and the second category of map entity libraries;

a third determining unit, configured to obtain, according to a historical medical problem corresponding to the second category of map entity library in the plurality of historical medical problems, a standard medical problem corresponding to the second category of map entity library corresponding to the first map entity;

a fifth obtaining unit, configured to obtain an answer corresponding to a standard medical question corresponding to the second category of map entity library, where the standard medical question corresponding to the second category of map entity library includes a second standard medical question, and the answer corresponding to the second standard medical question is used to provide a search result for a user when the user triggers a search based on a medical question matched with the second standard medical question;

And the second storage unit is used for storing answers corresponding to the standard medical questions corresponding to the second class of map entity library.

Optionally, the apparatus further includes:

an adding unit, configured to add a correspondence between the first category of map entities and the second category of map entity library to the problem map.

Optionally, the first set includes a third category of map entity library, and the second obtaining unit is configured to:

Optionally, the apparatus further includes:

a sixth obtaining unit, configured to obtain a first medical problem input by a user and related to the first map entity;

a fourth determining unit, configured to determine a first standard medical problem corresponding to the first medical problem;

a seventh obtaining unit, configured to obtain an answer corresponding to the first standard medical question;

and the output unit is used for outputting an answer corresponding to the first standard medical question.

Optionally, the fourth determining unit is configured to:

In a third aspect, embodiments of the present application provide a medical problem-based data processing apparatus comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, the one or more programs comprising instructions for:

Optionally, the operations further include:

In a fourth aspect, embodiments of the present application provide a computer-readable medium having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method of any of the first aspects above.

Compared with the prior art, the embodiment of the application has the following advantages:

the embodiment of the application provides a data processing method based on medical problems, which can be executed by first equipment. In one example, the first device may obtain a plurality of historical medical questions associated with a first map entity and determine a first category to which the first map entity belongs. Wherein the first profile entity is a medical-related profile entity. And then, the first device determines the category of the map entity library to which some or all of the plurality of historical medical problems belong according to the pre-constructed problem map to obtain a first set, wherein the first set comprises a map entity library of a first category and at least one map entity library of a non-first category which has an association relationship with the map entity library of the first category. The problem map comprises map entity libraries of each category and association relation diagrams corresponding to the map entity libraries of any category. After the first set is obtained, the first device may further obtain standard medical questions corresponding to the respective atlas entity libraries of each category corresponding to the first atlas entity according to the historical medical questions corresponding to the respective atlas entity libraries of each category in the plurality of historical medical questions, and obtain answers corresponding to the standard medical questions corresponding to the respective atlas entity libraries of each category. The answer corresponding to the first standard medical question in the obtained plurality of standard medical questions can provide search results for the user when the user triggers a search based on the medical questions matched with the first standard medical question. Therefore, by utilizing the scheme, the standard medical problems corresponding to the medical problems possibly searched by the user can be determined in advance according to the historical medical problems related to the first map entity and the pre-constructed problem map, and the answers of the standard medical problems are obtained in advance, so that when the user searches the medical problems in the search engine, the answers of the pre-obtained standard medical problems can be provided for the user, and the search results meeting the user requirements can be provided for the user.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of a data processing method based on medical problems according to an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a data processing device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a client according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The inventor of the application finds through research that when a user has a medical problem, the user can search through a search engine, so that corresponding solutions are obtained. In one example, a search engine may extract keywords of a medical question entered by a user and retrieve based on the keywords, resulting in corresponding search results. However, since the question asking modes of users are various, the search results meeting the user needs cannot be provided for the users in this way.

In order to solve the above problems, the embodiments of the present application provide a data processing method and apparatus based on medical problems.

Various non-limiting embodiments of the present application are described in detail below with reference to the attached drawing figures.

Exemplary method

Referring to fig. 1, a flow chart of a data processing method based on medical problems according to an embodiment of the present application is shown.

The method shown in fig. 1 may be performed, for example, by a first device, which as mentioned herein includes, but is not limited to, a terminal device and a server. The terminal device mentioned here may be a mobile terminal such as a smart phone or a tablet computer, or may be a terminal device such as a desktop computer. In one example, a search engine may be run on the first device.

In this embodiment, the method may include, for example, the steps of: S101-S104.

S101: a plurality of historical medical questions associated with a first map entity are acquired, and a first category to which the first map entity belongs is determined.

In an embodiment of the present application, the first map entity is a map entity associated with medical treatment. In one example, the first map entity may be one map entity in a map entity library of a first category, i.e. the first map entity belongs to the first category.

As an example, the first class of map entity library may be a disease class map entity library, and accordingly, the first map entity may correspond to a disease such as hypertension or diabetes. As yet another example, the first category of atlas entity may be a library of atlas entities of symptom categories, and accordingly, the first atlas entity may correspond to a symptom such as headache, abdominal pain, or vomiting, etc. As another example, the first category of atlas entity library may be a library of atlas entities of a surgical category, and accordingly, the first atlas entity may correspond to a surgery such as laparoscopy or cholecystectomy, etc. The first category of map entity library can also be a map entity library of medicine category, a map entity library of checking category, a map entity library of medical category, a map entity library of hospital category, a map entity library of first-aid category, a map entity library of food category, a map entity library of traditional Chinese medicine category, a map entity library of mother and infant category, etc. No further description is given here.

For ease of understanding, in the following description of the embodiments of the present application, the first class of map entity library is taken as a map entity library of a disease class, and the first map entity is "hypertension" as an example.

In the embodiment of the present application, the plurality of historical medical questions may be questions that a network user searches by using a search engine. In one example, the plurality of historical medical questions may be obtained from a server of a search engine.

S102: determining the category of a map entity library to which part or all of the plurality of historical medical problems belong according to a pre-constructed problem map to obtain a first set, wherein the first set comprises a map entity library of a first category and at least one map entity library of a non-first category which has an association relationship with the map entity library of the first category; the problem map comprises map entity libraries of various categories and association relation diagrams corresponding to the map entity libraries of any category; the first map entity belongs to a map entity library of the first category.

The association relation diagram corresponding to the map entity library of any category included in the problem map specifically comprises the following steps: a relationship diagram constructed by taking a map entity library of a certain category as a center and at least one map entity library of a non-first category with an association relationship with the map entity library of the category; the at least one non-first category of atlas entity library belongs to the problem atlas. And the association relation diagram corresponding to the map entity library of any category is used for displaying the association relation between the map entity libraries of other categories, which have association relation with the map entity library of the category, and the map entity library of the category in the problem map.

In this embodiment of the present application, a problem map may be pre-constructed, where as described above, the problem map includes a correspondence between a map entity library of a first category and a plurality of category map entity libraries associated with the map entity library of the first category. For example, the problem map may include a map entity library of disease categories, a map entity library of symptom categories, a map entity library of cause categories, a map entity library of diagnosis categories, a map entity library of treatment categories, a map entity library of diet categories, and so on. Meanwhile, the problem map can also comprise an association relation diagram corresponding to any map entity library. For example, taking a map entity library of disease categories as an example, the corresponding association relationship graph may include: the correspondence between the spectrum entity library of the disease category and the spectrum entity library of the symptom category, the correspondence between the spectrum entity library of the disease category and the spectrum entity library of the cause category, the correspondence between the spectrum entity library of the disease category and the spectrum entity library of the inspection category, the correspondence between the spectrum entity library of the disease category and the spectrum entity library of the diagnosis category, the correspondence between the spectrum entity library of the disease category and the spectrum entity library of the treatment category, the correspondence between the spectrum entity library of the disease category and the spectrum entity library of the diet category, and the like are shown as centers, and are not exemplified herein.

The problem map may also be determined based on historical medical problems entered by the network user in the search engine. In one example, considering that the historical medical problem itself may embody the search requirement of the user, the historical medical problem may be analyzed to obtain the requirement corresponding to the historical medical problem. For example, the history medical question is "what symptoms of hypertension? By "the history of medical problems is presented with a search requirement to obtain symptoms associated with hypertension. In view of this, a correspondence between the map entity library of the disease category and the map entity library of the symptom category may be constructed, which is added to the problem map. It will be appreciated that the problem map can embody the search needs of the user.

After the plurality of historical medical problems are acquired in S101, the historical medical problems may be analyzed, for example, the plurality of historical medical problems may be clustered, and similar historical medical problems may be classified into one type. Generally, the historical medical problems belonging to the same class correspond to the map entity library of the same class. After the plurality of historical medical problems are clustered, a plurality of classes can be obtained, and each class can comprise a plurality of historical medical problems. After obtaining the plurality of classes, the class of the map entity library corresponding to each class can be further determined, and the first set is obtained. Illustrating: after the plurality of historical medical problems are clustered, 3 classes are obtained, and the classes of the 3 classes of atlas entity libraries respectively correspond to a treatment class atlas entity library, a diet class atlas entity library and a symptom class atlas entity library, so that the first set comprises 3 classes of atlas entity libraries which are the treatment class atlas entity library, the diet class atlas entity library and the symptom class atlas entity library respectively.

S103: and obtaining standard medical problems corresponding to the map entity libraries of each category corresponding to the first map entity according to the historical medical problems corresponding to the map entity libraries of each category in the first set.

Considering that different users have different language habits, the question modes of different users may be different even if the question requirements are the same. In this embodiment of the present application, after the first set is obtained, standard medical problems corresponding to the first map entity library of each category corresponding to the first map entity may be obtained according to the historical medical problems corresponding to the map entity of each category in the first set, respectively, in the plurality of historical medical problems. The standard medical questions corresponding to the second category of map entity library corresponding to the first map entity can be regarded as the standardization of the historical medical questions corresponding to the first map entity and the second category of map entity library, and the standardized standard medical questions can reflect the questioning requirements of the historical medical questions corresponding to the first map entity and the second category of map entity library.

Illustrating: the first map entity is "hypertension", and for a map entity library of symptom categories in the first set, it corresponds to a plurality of historical medical problems, respectively: what are the common symptoms of hypertension? "what is the symptom of hypertension", "which is the symptom of hypertension? ", it can be determined that its corresponding standard medical question is" what symptoms of hypertension? ".

In one example, the standard medical questions corresponding to the respective map entity library of each category corresponding to the first map entity may be manually labeled. Specifically, the first device may display historical medical problems corresponding to the map entity library of each category in the first set in the plurality of historical problems, label standard medical problems corresponding to the map entity library of each category corresponding to the first map entity manually according to the displayed historical medical problems corresponding to the map entity library of each category in the first set in the plurality of historical problems, and input the manually labeled standard medical problems corresponding to the map entity library of each category corresponding to the first map entity manually through a man-machine interaction interface reserved by the first device.

In still another example, a correspondence between a standard medical question sentence pattern and a question sentence pattern corresponding to the map entity library of each category may be pre-constructed, and then, according to the historical medical questions respectively corresponding to the map entity library of each category in the first set and the pre-constructed correspondence, the standard medical questions respectively corresponding to the map entity library of each category corresponding to the first map entity are obtained.

Taking the third class of map entity library in the first set as an example, a corresponding relation between the standard medical problem sentence pattern and the question sentence pattern corresponding to the third class of map entity library can be pre-constructed. And obtaining the standard medical problems corresponding to the third category of map entity library corresponding to the first map entity according to the historical medical problems corresponding to the third category of map entity library in the plurality of historical medical problems and the corresponding relation between the standard medical problem sentence pattern and the question sentence pattern corresponding to the third category of map entity library. Taking the third class of atlas entity library as an example of the atlas entity library of the symptom class, the standard medical problem sentence pattern may be: what symptoms "? ", the question may include"? What are ", what are symptoms? ". At this time, if the historical medical question corresponding to the third category of map entity library among the plurality of historical medical questions includes "what is a common symptom of hypertension", it may be determined that the standard medical question corresponding to the third category of map entity library is "what is a symptom of hypertension? ".

S104: obtaining and storing answers corresponding to standard medical questions respectively corresponding to the map entity library of each category, wherein the standard medical questions respectively corresponding to the map entity library of each category comprise first standard medical questions, and the answers corresponding to the first standard medical questions are used for providing search results for a user when the user triggers a search based on the medical questions matched with the first standard medical questions.

After determining the standard medical questions respectively corresponding to the map entity library of each category, the answers corresponding to the standard medical questions respectively corresponding to the map entity library of each category can be further obtained and stored.

It should be noted that, the answers corresponding to the standard medical questions respectively corresponding to the map entity library of each category may be provided by a professional doctor, may be obtained by searching in a network, may be obtained from books or authoritative documents related to medical treatment, and the embodiment of the present application is not limited specifically.

For convenience of description, any one of the standard medical problems corresponding to the map entity library of each category is referred to as a first standard medical problem. Because the answers corresponding to the first standard medical questions are obtained and stored in advance, when the user triggers searching based on the medical questions matched with the first standard medical questions, the answers corresponding to the first standard medical questions, which are stored in advance, can be directly obtained, so that searching results meeting the user requirements are provided for the user.

In some embodiments, the association diagram corresponding to the map entity library considering any one type (for example, the first type) included in the predetermined problem map may not be complete. Thus, for the plurality of historical medical problems acquired in S101, there may be a part of medical problems, and it cannot correspond to each class of map entity library existing in the problem map.

For example, the association diagram corresponding to the map entity library of the disease category in the problem map may include: the method comprises the steps of corresponding relations between a disease type map entity library and a symptom type map entity library, corresponding relations between a disease type map entity library and a cause type map entity library, corresponding relations between a disease type map entity library and a checking type map entity library, corresponding relations between a disease type map entity library and a diagnosis type map entity library, corresponding relations between a disease type map entity library and a treatment type map entity library, and corresponding relations between a disease type map entity library and a diet type map entity library. However, among the plurality of historical medical problems acquired in S101, some medical problems are related to the diseased person, and therefore, the medical problems related to the diseased person cannot be associated with the respective map entity libraries existing in the problem map.

For this case, in order to be able to normalize questions that the user may mention, and further store corresponding answers in advance, in order to provide better search services for the user. In an implementation manner of the embodiment of the present application, a correspondence between a first category of map entity library and a second category of map entity library that are not included in the problem map may be further constructed, for example, a manual labeling manner may be adopted to establish a correspondence between the first category of map entity library and the second category of map entity library. As one example: and a manual labeling mode can be adopted to establish the corresponding relation between the map entity library of the disease category and the map entity library of the crowd category. Correspondingly, the first device may obtain a correspondence between the first map entity and the second category of map entity library that is manually marked. After obtaining the correspondence between the first map entity and the map entity library of the second category, the first device may perform the following steps A1-A2 based on the correspondence.

Step A1: and obtaining standard medical problems corresponding to the second category of map entity library corresponding to the first map entity according to the historical medical problems corresponding to the second category of map entity library in the plurality of historical medical problems.

Step A2: obtaining and storing answers corresponding to standard medical questions corresponding to the second category of map entity library, wherein the standard medical questions corresponding to the second category of map entity library comprise second standard medical questions, and the answers corresponding to the second standard medical questions are used for providing search results for a user when the user triggers a search based on the medical questions matched with the second standard medical questions.

Regarding the implementation of step A1, the principle is the same as S103, so reference may be made to the implementation of S103, and the description will not be repeated here, and regarding the implementation of step A2, the principle is the same as S104, reference may be made to the implementation of S104, and the description will not be repeated here.

After the first device obtains the correspondence between the first map entity and the second category of map entity library, the correspondence between the first category of map entity and the second category of map entity library may be further added to the problem map. In this way, the problem map may include a correspondence between the map entity of the first category and the map entity library of the second category. If the corresponding standard medical questions and corresponding standard answers are needed to be determined in advance for the second map entity belonging to the first category, the standard medical questions and corresponding answers corresponding to the second map entity and corresponding to the second map entity library can be determined according to the corresponding relation between the first map entity and the second map entity library so as to provide better searching service for users. Illustrating: the second map entity may be "diabetes", and the second category map entity library is a population category map entity library, and then based on the correspondence between the first category map entity and the second category map entity library, a standard medical problem corresponding to the population category map entity library may be determined and saved, "what is the high-incidence population of diabetes? "and Standard medical problem" what is the high incidence of diabetes? "corresponding answer, thus" what is the high incidence of diabetes? And when the matched medical questions trigger searching, providing answers meeting the user requirements for the user.

As described above, the problem map includes a map entity library of each category and an association relationship diagram corresponding to the map entity library of any category. Thus, in one example, for a third category of the library of map entities included in the first set, the problem map includes at least one category of library of map entities having an association with the third category of library of map entities. In one example, at least one category of the map entity library having an association relationship with the third category of the map entity library may constitute the second set. Illustrating: the first category of map entity library is a disease category map entity library, the third category of map entity library is a symptom category map entity library, and the second set may include a cause category map entity library, an inspection category map entity library, and the like. Further by way of example: the first category of map entity library is a disease category map entity library, the third category of map entity library is a treatment category map entity library, and the second set may include an operation category map entity library, a medicine category map entity library, and the like.

In one example, considering that a user enters historical medical questions, it may be desirable to obtain some finer granularity of query results, e.g., for "treatment" it may include both "medicine" and "surgery". For this case, in order to provide the user with more accurate search results, "get the standard medical question corresponding to each of the map entity bases of each category corresponding to the first map entity" in S103 may include: obtaining a plurality of standard medical questions corresponding to the third category of map entity library corresponding to the first map entity, wherein the plurality of standard medical questions comprise: standard medical problems respectively corresponding to at least one category of map entity library in the second set. In one specific example: when determining the standard medical problems corresponding to the third category of map entity library corresponding to the first map entity, the standard medical problems corresponding to the third category of map entity library in the second set can be respectively determined. In one example, the historical medical problems corresponding to the third category of the map entity library in the plurality of historical problems may be clustered to obtain the historical medical problems respectively corresponding to the at least one category of the map entity library in the second set, and then the standard medical problems respectively corresponding to the at least one category of the map entity library in the second set are obtained according to the historical medical problems respectively corresponding to the at least one category of the map entity library in the second set. In other words, the third category of atlas entity library corresponding to the first atlas entity may correspond to a plurality of standard medical problems, and the plurality of standard medical problems may include: standard medical problems respectively corresponding to at least one category of map entity library in the second set.

Regarding the specific implementation of "obtaining the standard medical questions corresponding to the at least one class of the map entity library in the second set according to the historical medical questions corresponding to the at least one class of the map entity library in the second set, respectively" may refer to the description section of "obtaining the standard medical questions corresponding to the first map entity corresponding to the map entity library of each class of the first set according to the historical medical questions corresponding to the map entity library of each class of the plurality of historical questions, respectively" herein not repeated.

Illustrating: the first map entity is hypertension, the third category map entity library is a treatment category map entity library, and the second set comprises an operation category map entity library and a medicine category map entity library. Clustering the historical medical problems corresponding to treatment in the historical medical problems acquired in the step S101 to obtain a part of historical medical problems related to surgery and a part of historical medical problems related to medicines, and obtaining a standard medical problem of' is hypertension treated by surgery? "based on the historical medical questions associated with the drug, a standard medical question" which drugs can be taken by hypertension? ".

After the method is executed, if the user searches the medical problems related to the first map entity by using the search engine, the search results meeting the user requirements can be provided for the user. Specifically: in a search scenario, the first device may perform the following steps B1-B3.

Step B1: a first medical question entered by a user and associated with the first map entity is obtained.

In embodiments of the present application, the user may enter the first medical question in an input field provided by the search engine. After the user enters the first medical question, a first device running a search engine may obtain the first medical question.

Step B2: and determining a first standard medical problem corresponding to the first medical problem.

The language habits of different users are considered, so that the questioning modes of the users are various. Therefore, in the embodiment of the present application, after the first medical problem is acquired, a first standard medical problem corresponding to the first medical problem may be determined. It will be appreciated that the first standard medical question is a standardized description of the first medical question and can embody the questioning requirement of the first medical question.

In a specific implementation, step B2 may have a plurality of implementation manners. Two possible implementations are described below.

The first implementation mode:

a library of atlas entities of the category to which the first medical problem belongs may first be determined. After determining the map entity library of the category to which the first medical problem belongs, at least one standard medical problem corresponding to the map entity library of the category to which the first medical problem belongs, which corresponds to the first map entity, may be acquired. For example, the first map entity is hypertension, the first medical problem is "what medicine is taken by hypertension", and it may be determined that the map entity of the category to which the first medical problem belongs is a map entity of the treatment category. Further, acquiring a standard medical question corresponding to a map entity of a treatment category corresponding to hypertension "is hypertension treatable by surgery? "and" which drugs can be taken by hypertension? ".

After the at least one standard medical question is acquired, the at least one standard medical question and the first medical question may be compared, and a standard medical question matched with the first medical question in the at least one standard medical question is determined as the first standard medical question. When the at least one standard medical problem and the first medical problem are compared, for example, the similarity between the at least one standard medical problem and the first medical problem can be calculated, and the higher the similarity is, the higher the matching degree is. As another example, keywords of the first medical question and the at least one standard medical question may be extracted and the extracted keywords may be matched. Not described in detail herein.

Illustrating: the first medical problem is "what is the hypertension good? "is the at least one standard medical question" is hypertension surgically treatable? "and" which drugs can be taken by hypertension? ", it can be determined that the first standard medical question is" which medications can be taken by hypertension? ".

The second implementation mode:

considering that in practical applications, for the first map entity, there are some hot questions that users ask relatively much, for example, for hypertension, medical questions "which drugs can be taken by hypertension", "which symptoms of hypertension? "comparatively hot". In some examples, correspondence of medical problems and standard medical problems may be pre-constructed and stored for these trending medical problems. Accordingly, when the user triggers the search based on the hot medical problems, the standard medical problems corresponding to the medical problems input by the user can be determined according to the corresponding relation, so that the efficiency of determining the standard medical problems corresponding to the medical problems input by the user can be improved, and further, the search results meeting the user requirements can be provided for the user more quickly.

Thus, in some examples, step B2, when specifically implemented, may obtain the first standard medical question according to a correspondence between a pre-stored medical question and a standard medical question. Specifically: the first medical problem may be matched with the medical problem in the corresponding relationship, and when the first medical problem hits the medical problem in the corresponding relationship, the standard medical problem in the corresponding relationship is determined to be the first standard medical problem. Illustrating: the correspondence includes a medical question "what is the symptom of hypertension? "and standard medical questions" what symptoms of hypertension? "correspondence between them, and" which symptoms of hypertension are the first medical question? What is the symptom of "hit medical problem" hypertension? "what is the symptom of hypertension" can be regarded as the standard medical problem in the correspondence? "identified as a first standard medical problem".

The first medical problem hits the medical problems in the corresponding relation, that is, the similarity between the first medical problem and the medical problems in the corresponding relation is higher than a certain threshold.

Step B3: and obtaining and outputting an answer corresponding to the first standard medical question.

After the first standard medical question is determined, a pre-stored answer corresponding to the first standard medical question can be acquired, and the answer corresponding to the first standard medical question is output. The outputting of the answer corresponding to the first standard medical question may be, for example, displaying the answer corresponding to the first standard medical question in a search interface.

It can be understood that, through step B1 and step B2, the search requirement of the user can be precisely located, and the answer corresponding to the first standard medical question in step B3 may be obtained from a professional medical book in advance or provided by a professional doctor, so that the professional performance of the answer of the first standard medical question can be ensured. Therefore, the steps B1-B3 can provide the search results meeting the user requirements for the user, and the service quality of the search engine is greatly improved.

Exemplary apparatus

Based on the method provided by the embodiment, the embodiment of the application also provides a device, and the device is described below with reference to the accompanying drawings.

Referring to fig. 2, a schematic structural diagram of a data processing device based on medical problems according to an embodiment of the present application is shown. The apparatus 200 may specifically include, for example: a first acquisition unit 201, a first determination unit 202, a second determination unit 203, a second acquisition unit 204, a third acquisition unit 205, and a first storage unit 206.

A first obtaining unit 201, configured to obtain a plurality of historical medical questions related to a first map entity;

a first determining unit 202, configured to determine a first category to which the first map entity belongs;

a second determining unit 203, configured to determine, according to a pre-constructed problem spectrum, a class of a spectrum entity library to which some or all of the plurality of historical medical problems belong, to obtain a first set, where the first set includes a spectrum entity library of a first class, and at least one spectrum entity library of a non-first class that has an association relationship with the spectrum entity library of the first class; wherein: the problem map comprises map entity libraries of each category and association relation diagrams corresponding to the map entity libraries of any category;

a second obtaining unit 204, configured to obtain standard medical questions corresponding to the map entity library of each category corresponding to the first map entity according to the historical medical questions corresponding to the map entity library of each category in the first set, respectively;

a third obtaining unit 205, configured to obtain answers corresponding to standard medical questions respectively corresponding to the map entity bases of each category, where the standard medical questions respectively corresponding to the map entity bases of each category include a first standard medical question, and the answer corresponding to the first standard medical question is used to provide a search result for a user when the user triggers a search based on a medical question matched with the first standard medical question;

A first storage unit 206, configured to store answers corresponding to the standard medical questions respectively corresponding to the map entity library of each category.

Optionally, the apparatus further includes:

Optionally, the first set includes a third category of map entity library, and the first set includes the second obtaining unit 204 configured to:

Optionally, the first set includes a third category of map entity library, and the second obtaining unit 204 is configured to:

Optionally, the apparatus further includes:

Optionally, the fourth determining unit is configured to:

Since the apparatus 200 is an apparatus corresponding to the method provided in the above method embodiment, the specific implementation of each unit of the apparatus 200 is the same as the above method embodiment, and therefore, with respect to the specific implementation of each unit of the apparatus 200, reference may be made to the description part of the above method embodiment, and details are not repeated herein.

The method provided by the embodiment of the application can be executed by a client or a server, and the client and the server for executing the method are respectively described below.

Fig. 3 shows a block diagram of a client 300. For example, the client 300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 3, a client 300 may include one or more of the following components: a processing component 302, a memory 304, a power supply component 306, a multimedia component 308, an audio component 310, an input/output (I/O) interface 33, a sensor component 314, and a communication component 316.

The processing component 302 generally controls overall operation of the client 300, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 302 may include one or more processors 320 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 302 can include one or more modules that facilitate interactions between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate interaction between the multimedia component 308 and the processing component 302.

Memory 304 is configured to store various types of data to support operations at client 300. Examples of such data include instructions for any application or method operating on client 300, contact data, phonebook data, messages, pictures, video, and the like. The memory 304 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply component 306 provides power to the various components of the client 300. The power components 306 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the client 300.

The multimedia component 308 includes a screen between the client 300 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front-facing camera and/or a rear-facing camera. When the client 300 is in an operation mode, such as a photographing mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 310 is configured to output and/or input audio signals. For example, the audio component 310 includes a Microphone (MIC) configured to receive external audio signals when the client 300 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 304 or transmitted via the communication component 316. In some embodiments, audio component 310 further comprises a speaker for outputting audio signals.

The I/O interface provides an interface between the processing component 302 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 314 includes one or more sensors for providing status assessment of various aspects for the client 300. For example, the sensor assembly 314 may detect an on/off state of the device 300, a relative positioning of the components, such as a display and keypad of the client 300, the sensor assembly 314 may also detect a change in position of the client 300 or a component of the client 300, the presence or absence of user contact with the client 300, the orientation or acceleration/deceleration of the client 300, and a change in temperature of the client 300. The sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 316 is configured to facilitate communication between the client 300 and other devices, either wired or wireless. The client 300 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication part 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the client 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for performing the following methods:

Optionally, the method further comprises:

Fig. 4 is a schematic structural diagram of a server in an embodiment of the present application. The server 400 may vary considerably in configuration or performance and may include one or more central processing units (central processing units, CPU) 422 (e.g., one or more processors) and memory 432, one or more storage media 430 (e.g., one or more mass storage devices) storing applications 442 or data 444. Wherein memory 432 and storage medium 430 may be transitory or persistent storage. The program stored on the storage medium 430 may include one or more modules (not shown), each of which may include a series of instruction operations on a server. Still further, the central processor 422 may be configured to communicate with the storage medium 430 and execute a series of instruction operations in the storage medium 430 on the server 400.

Still further, the central processor 422 may perform the following method:

Optionally, the method further comprises:

The server 400 may also include one or more power supplies 426, one or more wired or wireless network interfaces 450, one or more input/output interfaces 456, one or more keyboards 456, and/or one or more operating systems 441, such as Windows ServerTM, mac OS XTM, unixTM, linuxTM, freeBSDTM, etc.

Embodiments of the present application also provide a computer-readable medium having instructions stored thereon that, when executed by one or more processors, cause an apparatus to perform the following method:

Optionally, the method further comprises:

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims

The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.

Claims

1. A method of data processing based on medical problems, the method comprising:

Obtaining and storing answers corresponding to standard medical questions respectively corresponding to the map entity library of each category; the standard medical problems respectively corresponding to the map entity libraries of each category comprise first standard medical problems; the answer corresponding to the first standard medical question is used for providing a search result for the user when the user triggers a search based on the medical question matched with the first standard medical question;

obtaining and storing answers corresponding to standard medical questions corresponding to the second class of map entity library; the second class of map entity library corresponds to standard medical problems, including second standard medical problems; and the answer corresponding to the second standard medical question is used for providing a search result for the user when the user triggers the search based on the medical question matched with the second standard medical question.

2. The method of claim 1, wherein the association relationship diagram corresponding to the map entity library of any category is: a relationship diagram constructed by taking any category of map entity library as a center and at least one non-first category of map entity library with an association relationship with the category of map entity library;

3. The method according to claim 1, wherein the method further comprises:

4. The method of claim 1, wherein the first set includes a third class of atlas entity library; the obtaining the standard medical problems respectively corresponding to the map entity library of each category corresponding to the first map entity includes:

obtaining a plurality of standard medical questions corresponding to the third category of map entity library corresponding to the first map entity, wherein the plurality of standard medical questions comprise: standard medical problems respectively corresponding to at least one class of map entity library in the second set;

The second set is composed of at least one category of map entity library which is included in the problem map and has association relation with the third category of map entity library.

5. The method of claim 1, wherein the first set includes a third class of map entity library, and obtaining, from the historical medical questions of the plurality of historical medical questions respectively corresponding to the first class of map entity library, standard medical questions respectively corresponding to the first class of map entity library corresponding to the first map entity includes:

6. The method according to claim 1, wherein the method further comprises:

7. The method of claim 6, wherein the determining a first standard medical question corresponding to the first medical question comprises:

8. The method of claim 6, wherein the determining a first standard medical question corresponding to the first medical question comprises:

9. A medical problem-based data processing apparatus, the apparatus comprising:

The first storage unit is used for storing answers corresponding to the standard medical questions respectively corresponding to the map entity library of each category;

10. The apparatus of claim 9, wherein the first set includes a third class of atlas entity library, and the second obtaining unit is configured to:

obtaining a plurality of standard medical questions corresponding to the third category of map entity library corresponding to the first map entity, wherein the plurality of standard medical questions comprise: standard medical questions corresponding to at least one class of atlas entity library in the second set, respectively, wherein: the second set is composed of at least one category of map entity library with association relation with the third category of map entity library, which is included in the problem map;

or, the second obtaining unit is configured to:

11. The apparatus of claim 9, wherein the apparatus further comprises:

12. The apparatus of claim 11, wherein the fourth determination unit is configured to:

determining a map entity library of the category to which the first medical problem belongs, and acquiring at least one standard medical problem corresponding to the map entity library of the category to which the first medical problem belongs, wherein the at least one standard medical problem corresponds to the first map entity; determining a standard medical question matching the first medical question from among the at least one standard medical question as the first standard medical question;

alternatively, the fourth determining unit is configured to:

13. A medical problem-based data processing apparatus comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, the one or more programs comprising instructions for performing the operations of any of the preceding claims 1-8.

14. A computer readable medium having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method of any of claims 1 to 8.