CN110349677A - Searching method and device, storage medium, the electronic device of medical data - Google Patents

Searching method and device, storage medium, the electronic device of medical data Download PDF

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Publication number
CN110349677A
CN110349677A CN201910562715.9A CN201910562715A CN110349677A CN 110349677 A CN110349677 A CN 110349677A CN 201910562715 A CN201910562715 A CN 201910562715A CN 110349677 A CN110349677 A CN 110349677A
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China
Prior art keywords
entity object
medical data
enquirement
medical
entity
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CN201910562715.9A
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杜丽娟
陆杰
吴明辉
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Miaozhen Information Technology Co Ltd
Miaozhen Systems Information Technology Co Ltd
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Miaozhen Systems Information Technology Co Ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

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  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The embodiment of the present disclosure provides the searching method and device, storage medium, electronic device of a kind of medical data, the described method includes: obtaining medical data from global metadata source according to predetermined period, wherein, global metadata source includes at least: the mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopedia;Medical data is resolved into entity object map between each other with incidence relation, wherein entity object includes at least: doctor, illness and treatment method;Receive the enquirement for being directed to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;Search corresponds to the medical data putd question in entity object map.It is not accurate enough or be related to security hidden trouble to solve data that medical knowledge platform in the prior art provides.

Description

Searching method and device, storage medium, the electronic device of medical data
Technical field
This disclosure relates to intelligent display technical field, searching method and device in particular to a kind of medical data, Storage medium, electronic device.
Background technique
With Environmental variations, the change of people's diet and living habit, various difficult and complicated cases medically are increasingly More, global Health personnel requires the research achievement for constantly studying Medical Technologist all over the world, it is found that and practice.Together When people more and more rely on the video of internet, the blog of expert and some forums obtain medical knowledge and health care Practice.The some difficult and complicated cases that cannot be eradicated such as cancers etc. are even more that global knowledge is needed to solve jointly.Some be the discovery that across The knowledge of medical field, such as nutrition, diet, life style, environment etc..These knowledge are interconnected to common patient and medical treatment Treatment disease is gone in the broader thinking of worker.
There is one group of data to show, the retrieval on daily search engine about medical treatment & health category information has nearly hundred million times.Illustrate people On the internet solve medical information mode it is very universal.But at present in the related technology, it is special that medical institutions are required Family's system, medical records and Medical Technologist provide knowledge architecture platform.Firstly, analysis medical records has personal secrets hidden danger, Some countries do not allow.Secondly, the diagnosis of expert system and Medical Technologist have subjective factor or the unilateral factor of knowledge, it can The answer provided can be caused not select too much.
The data provided for medical knowledge platform in the prior art are not accurate enough or be related to security hidden trouble, there has been no Reasonable solution.
Summary of the invention
The embodiment of the present disclosure provides the searching method and device, storage medium, electronic device of a kind of medical data, so that Few data for solving medical knowledge platform offer in the related technology are not accurate enough or are related to security hidden trouble.
According to one embodiment of the disclosure, a kind of searching method of medical data is provided, comprising: according to predetermined period Medical data is obtained from global metadata source, wherein the global metadata source includes at least: the mainstream social activity matchmaker in global range Body, medical journals, medical journal, Journalist magazine and encyclopedia;The medical data is resolved to have between each other and is closed The entity object map of connection relationship, wherein the entity object includes at least: doctor, illness and treatment method;It receives for institute State the enquirement of entity object, wherein described put question to includes that text enquirement and/or voice are putd question to;In the entity object map Search corresponds to the medical data of the enquirement, wherein the medical data includes and the entity that includes in the enquirement Other relevant entity objects of object and/or map relevant to the entity object for including in the enquirement.
Preferably, obtaining medical data from global metadata source according to predetermined period includes: to consult respectively according to predetermined period The homepage of the social media account of a domain expert doctor, wherein the social media includes at least one of: Facebook, blog, wechat public platform, medicine forum.
Preferably, the medical data is resolved to by natural language processing NLP technology between each other there is association to close The entity object map of system includes: the entity object extracted in the medical data by natural language processing NLP technology, In, the entity object further include: article, paper, disease name, physical therapy method, drug, diet, health-care method, nutrition are taken the photograph It takes;The incidence relation between the entity object is identified by machine learning algorithm;According to the association between the entity object Relationship generates the entity object map for each doctor and/or every a kind of disease.
Preferably, receiving and being directed to the enquirement of the entity object includes: to be received by chat robots for the entity The enquirement of object;Search corresponds to after the medical data of the enquirement in the entity object map, and the method is also wrapped It includes: the medical data searched being converted into natural language, is answered or is shown by the chat robots.
According to the other side of the embodiment of the present disclosure, a kind of searcher of medical data is additionally provided, comprising: obtain Module, for obtaining medical data from global metadata source according to predetermined period, wherein the global metadata source includes at least: Mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopedia;Parsing module is used for The medical data is resolved into entity object map between each other with incidence relation, wherein the entity object is at least It include: doctor, illness and treatment method;Receiving module, for receiving the enquirement for being directed to the entity object, wherein described to mention It asks and is putd question to including text enquirement and/or voice;Search module corresponds to described mention for searching in the entity object map The medical data asked, wherein the medical data includes other realities relevant to the entity object for including in the enquirement Body object and/or map relevant to the entity object for including in the enquirement.
Preferably, the acquisition module includes: access unit, for consulting every field expert doctor according to predetermined period Social media account homepage, wherein the social media includes at least one of: Facebook, blog, the wechat public Number, medicine forum.
Preferably, the parsing module includes: extraction unit, described in being extracted by natural language processing NLP technology Entity object in medical data, wherein the entity object further include: article, paper, disease name, physical therapy method, medicine Object, diet, health-care method, nutrition intake;Recognition unit, for being identified between the entity object by machine learning algorithm Incidence relation;Generation unit, for being generated according to the incidence relation between the entity object for each doctor and/or every The entity object map of a kind of disease.
Preferably, the receiving module includes: chat robots, for receiving the enquirement for being directed to the entity object;Institute Stating device further includes conversion module, for the medical data searched to be converted into natural language;The chat robots It is also used to, the natural language after conversion is answered or shown.
According to the other side of the embodiment of the present disclosure, a kind of storage medium is additionally provided, which is characterized in that the storage Computer program is stored in medium, wherein the computer program is arranged to execute any of the above-described method reality when operation Apply the step in example.
According to another embodiment of the present disclosure, a kind of electronic device, including memory and processor are additionally provided, it is special Sign is, computer program is stored in the memory, and the processor is arranged to run the computer program to hold Step in row any of the above-described embodiment of the method.
By the embodiment of the present disclosure, medical data is obtained from global metadata source according to predetermined period, wherein global metadata Source includes at least: the mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopedia;It will Medical data resolves to entity object map between each other with incidence relation, wherein and entity object includes at least: doctor, Illness and treatment method;Receive the enquirement for being directed to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;In reality Search corresponds to the medical data putd question in body object map.Solve the data of medical knowledge platform offer in the prior art not Reach accurately or be related to security hidden trouble.Begging for for all disclosed medical topics of internet can be obtained by this platform user By and article, user may learn wider knowledge, especially Medical Technologist compare shortage area or some generation The treatment method search of the difficult and complicated cases of boundary's grade.
Detailed description of the invention
Attached drawing described herein is used to provide further understanding of the disclosure, constitutes a part of this disclosure, this public affairs The illustrative embodiments and their description opened do not constitute the improper restriction to the disclosure for explaining the disclosure.In the accompanying drawings:
Fig. 1 is a kind of hardware block diagram of the mobile terminal of the searching method of medical data of the embodiment of the present disclosure;
Fig. 2 is the flow chart according to the searching method of embodiment of the present disclosure traditional Chinese medicine data;
Fig. 3 is the structure chart according to the entity object map of the embodiment of the present disclosure;
Fig. 4 is the system architecture diagram searched for according to the medical data of the embodiment of the present disclosure;
Fig. 5 is the structural block diagram according to the searcher of the medical data of the embodiment of the present disclosure.
Specific embodiment
The disclosure is described in detail below with reference to attached drawing and in conjunction with the embodiments.It should be noted that not conflicting In the case of, the feature in embodiment and embodiment in the disclosure can be combined with each other.
It should be noted that the specification and claims of the disclosure and term " first " in above-mentioned attached drawing, " Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.
Embodiment 1
Embodiment of the method provided by the embodiment of the present disclosure one can be in mobile terminal, terminal or similar fortune It calculates and is executed in device.For running on mobile terminals, Fig. 1 is a kind of searching method of medical data of the embodiment of the present disclosure Mobile terminal hardware block diagram.As shown in Figure 1, mobile terminal 10 may include that one or more (only shows one in Fig. 1 It is a) (processor 102 can include but is not limited to the processing of Micro-processor MCV or programmable logic device FPGA etc. to processor 102 Device) and memory 104 for storing data, optionally, above-mentioned mobile terminal can also include the biography for communication function Transfer device 106 and input-output equipment 108.It will appreciated by the skilled person that structure shown in FIG. 1 is only to show Meaning, does not cause to limit to the structure of above-mentioned mobile terminal.For example, mobile terminal 10 may also include it is more than shown in Fig. 1 Perhaps less component or with the configuration different from shown in Fig. 1.
Memory 104 can be used for storing computer program, for example, the software program and module of application software, such as this public affairs The corresponding computer program of acquisition methods of the data information in embodiment is opened, processor 102 is stored in memory by operation Computer program in 104 realizes above-mentioned method thereby executing various function application and data processing.Memory 104 May include high speed random access memory, may also include nonvolatile memory, as one or more magnetic storage device, flash memory, Or other non-volatile solid state memories.In some instances, memory 104 can further comprise relative to processor 102 Remotely located memory, these remote memories can pass through network connection to mobile terminal 10.The example packet of above-mentioned network Include but be not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Transmitting device 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include The wireless network that the communication providers of mobile terminal 10 provide.In an example, transmitting device 106 includes a Network adaptation Device (Network Interface Controller, referred to as NIC), can be connected by base station with other network equipments to It can be communicated with internet.In an example, transmitting device 106 can for radio frequency (Radio Frequency, referred to as RF) module is used to wirelessly be communicated with internet.
The embodiment of the present disclosure provides a kind of searching method of medical data.Fig. 2 is according to embodiment of the present disclosure traditional Chinese medicine The flow chart of the searching method of data, as shown in Fig. 2, this method comprises:
Step S201 obtains medical data from global metadata source according to predetermined period, wherein at least wrap in global metadata source It includes: the mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopedia;
Medical data is resolved to entity object map between each other with incidence relation, wherein entity by step S203 Object includes at least: doctor, illness and treatment method;
Step S205 receives the enquirement for being directed to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;
Step S207, in entity object map search correspond to put question to medical data, wherein medical data include with Other relevant entity objects of the entity object for including in enquirement and/or map relevant to the entity object for including in enquirement.
By the above method, medical data is obtained from global metadata source according to predetermined period, wherein global metadata source is extremely It less include: the mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopedia;By medicine Data resolve to entity object map between each other with incidence relation, wherein entity object includes at least: doctor, illness And treatment method;Receive the enquirement for being directed to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;In entity pair As search corresponds to the medical data putd question in map.It is not quasi- enough to solve the data that medical knowledge platform provides in the prior art Really or it is related to security hidden trouble.By this platform user can obtain all disclosed medical topics of internet discussion and Article, user may learn wider knowledge, especially compare the area of shortage or some world-class in Medical Technologist Difficult and complicated cases treatment method search.
Preferably, step S201 can be realized by following steps: consult every field expert doctor according to predetermined period Social media account homepage, wherein the social media includes at least one of: Facebook, blog, the wechat public Number, medicine forum.
Preferably, step S203 can be realized by following steps: extract the doctor by natural language processing NLP technology Learn the entity object in data, wherein the entity object further include: article, paper, disease name, physical therapy method, drug, Diet, health-care method, nutrition intake;The incidence relation between the entity object is identified by machine learning algorithm;According to institute It states the incidence relation between entity object and generates the entity object map for being directed to each doctor and/or every a kind of disease.
When being related to doctor's name inside the enquirement received, search engine directly shows map relevant to the doctor On interface, user can further select the correlative theses of doctor, research field, the disease notification of research, in social media The article etc. of publication.
When received enquirement is related to a certain illness, search engine shows the relevant map of the illness on interface, packet Include the possible corresponding disease of the illness, relevant administration, therapeutic scheme, the doctor for studying this field, related article etc..
Preferably, step S205 can be realized by following steps: be received by chat robots for entity object It puts question to;After step S207, the method also includes: the medical data searched is converted into natural language, by chat machine People answers or shows.
The embodiment of the present disclosure will illustrate how to construct such a platform with these technologies.The main feature of this platform It is globalization data source, automatically parses entity and relationship and the even network of access platform, the search and reason reasoning of challenge Parsing.
First, global metadata source is initially set to mainstream social media, doctor's homepage/blog, news, magazine, and encyclopaedia is complete Book etc..Platform can according to need customized subscribed content.
Second, data source is parsed into entity, context, public sentiment and tendency by NLP technology, automatic upper loading diagram data Library.
Third identified, entity relation extraction by the automatic computational entity of the algorithm of machine learning, the hiding pass between entity System and building entity indicate figure.
4th, with chart database stored knowledge data, the figure query language carried with library database and algorithm search problem Answer.
5th, talked with chat robots and people, search platform simultaneously generates natural language and answers a question.
Following purpose: the fast search capabilities of complex query may be implemented in this programme;Automatic mining goes out hidden between entity Containing relationship;Human language, content, theme and generation human language are understood with NLP technology.
Fig. 3 is according to the structure chart of the entity object map of the embodiment of the present disclosure, and what is grabbed from internet is unstructured The diagram data model example that data are established after analyzing is as shown in Figure 3.It is ground by what this platform automatically generated that doctor publishes Study carefully achievement blog, article, the medical project of paper discussion, treatment method physical therapy method relevant with other.For terminal user, Article relevant with the medical project of search can be gone out by this platform real-time query.
Fig. 4 is the system architecture diagram searched for according to the medical data of the embodiment of the present disclosure, as shown in figure 4, approximate to guarantee Real-time knowledge mapping updates as a result, internet data generates JSON file by message queue Kafka, through TensoFlow's It is updated after NLP analysis processing and arrives chart database neo4j, then the SparkGraphX through Spark and neo4j included algorithms library Realize the foundation and update of knowledge mapping.
By the platform user of the embodiment of the present disclosure can obtain all disclosed medical topics of internet discussion and Article, user may learn wider knowledge, especially compare the area of shortage or some world-class in Medical Technologist Difficult and complicated cases treatment method search.One is also provided for choosing for the knowledge that medical worker updates newest field The resource selected, and be realized that
One, support challenge function of search, this platform provides a web page and user is supported to input problem, Huo Zheti The challenge of user is answered for chat robots.
Two, this platform provides visualization interface and provides the relationship expression of data, and specific entity, can check when the user clicks The source article of the Internet sources data.
Three, this platform can provide newest associated article by the historical search of user to be recommended, after user The renewal of knowledge of the phase to this project.
Embodiment 2
A kind of searcher of medical data is additionally provided in the present embodiment, for executing any of the above-described embodiment of the method In step, details are not described herein again for the content having been noted above.Fig. 5 is filled according to the search of the medical data of the embodiment of the present disclosure The structural block diagram set, as shown in figure 5, the device includes: to obtain module 50, for obtaining from global metadata source according to predetermined period Take medical data, wherein global metadata source includes at least: the mainstream social media in global range, medical journals, medicine are miscellaneous Will, Journalist magazine and encyclopedia;Parsing module 52 has incidence relation for resolving to medical data between each other Entity object map, wherein entity object includes at least: doctor, illness and treatment method;Receiving module 54, for receiving needle Enquirement to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;Search module 56, in entity object Search corresponds to the medical data putd question in map.
By above-mentioned apparatus, module 50 is obtained according to predetermined period and obtains medical data from global metadata source, wherein is complete Ball data source includes at least: the mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopaedia Pandect;Medical data is resolved to entity object map between each other with incidence relation by parsing module 52, wherein entity pair As including at least: doctor, illness and treatment method;Receiving module 54 receives the enquirement for being directed to entity object, wherein enquirement includes Text is putd question to and/or voice is putd question to;Search module 56 is searched in entity object map corresponding to the medical data putd question to.It solves The data that medical knowledge platform provides in the prior art are not accurate enough or are related to security hidden trouble.It can by this platform user It may learn wider knowledge to obtain discussion and article, the user of all disclosed medical topics of internet, especially It is the treatment method search for the area or some world-class difficult and complicated cases for comparing shortage in Medical Technologist.
According to the other side of the embodiment of the present disclosure, a kind of searcher of medical data is additionally provided, comprising:.
Preferably, obtaining module 50 includes: access unit, for consulting every field expert doctor's according to predetermined period The homepage of social media account, wherein the social media includes at least one of: Facebook, blog, the wechat public Number, medicine forum.
Preferably, parsing module 52 includes: extraction unit, for extracting the doctor by natural language processing NLP technology Learn the entity object in data, wherein the entity object further include: article, paper, disease name, physical therapy method, drug, Diet, health-care method, nutrition intake;Recognition unit, for identifying the pass between the entity object by machine learning algorithm Connection relationship;Generation unit, for being generated according to the incidence relation between the entity object for each doctor and/or each The entity object map of class disease.
Preferably, receiving module 54 includes: chat robots, for receiving the enquirement for being directed to the entity object;It is described Device further includes conversion module, for the medical data searched to be converted into natural language;The chat robots are also For being answered or being shown the natural language after conversion.
Embodiment 3
Embodiment of the disclosure additionally provides a kind of storage medium, is stored with computer program in the storage medium, wherein The computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
Optionally, in the present embodiment, above-mentioned storage medium can be set to store by executing based on following steps Calculation machine program:
S1 obtains medical data from global metadata source according to predetermined period, wherein global metadata source includes at least: complete Mainstream social media within the scope of ball, medical journals, medical journal, Journalist magazine and encyclopedia;
Medical data is resolved to entity object map between each other with incidence relation, wherein entity object is extremely by S2 It less include: doctor, illness and treatment method;
S3 receives the enquirement for being directed to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;
S4, search corresponds to the medical data putd question in entity object map.
Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk, read-only memory (Read- Only Memory, referred to as ROM), it is random access memory (Random Access Memory, referred to as RAM), mobile hard The various media that can store computer program such as disk, magnetic or disk.
Embodiment of the disclosure additionally provides a kind of electronic device, including memory and processor, stores in the memory There is computer program, which is arranged to run computer program to execute the step in any of the above-described embodiment of the method Suddenly.
Optionally, above-mentioned electronic device can also include transmission device and input-output equipment, wherein the transmission device It is connected with above-mentioned processor, which connects with above-mentioned processor.
Optionally, in the present embodiment, above-mentioned processor can be set to execute following steps by computer program:
S1 obtains medical data from global metadata source according to predetermined period, wherein global metadata source includes at least: complete Mainstream social media within the scope of ball, medical journals, medical journal, Journalist magazine and encyclopedia;
Medical data is resolved to entity object map between each other with incidence relation, wherein entity object is extremely by S2 It less include: doctor, illness and treatment method;
S3 receives the enquirement for being directed to entity object, wherein puing question to includes that text enquirement and/or voice are putd question to;
S4, search corresponds to the medical data putd question in entity object map.
Specific example in the present embodiment can refer to example described in above-described embodiment and optional embodiment, this Details are not described herein for embodiment.
Obviously, those skilled in the art should be understood that each module of the above-mentioned disclosure or each step can be with general Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored It is performed by computing device in the storage device, and in some cases, it can be to be different from shown in sequence execution herein Out or description the step of, perhaps they are fabricated to each integrated circuit modules or by them multiple modules or Step is fabricated to single integrated circuit module to realize.It is combined in this way, the disclosure is not limited to any specific hardware and software.
The foregoing is merely preferred embodiment of the present disclosure, are not limited to the disclosure, for the skill of this field For art personnel, the disclosure can have various modifications and variations.It is all within the principle of the disclosure, it is made it is any modification, etc. With replacement, improvement etc., should be included within the protection scope of the disclosure.

Claims (10)

1. a kind of searching method of medical data characterized by comprising
Medical data is obtained from global metadata source according to predetermined period, wherein the global metadata source includes at least: global model Enclose interior mainstream social media, medical journals, medical journal, Journalist magazine and encyclopedia;
The medical data is resolved into entity object map between each other with incidence relation, wherein the entity object It includes at least: doctor, illness and treatment method;
Receive the enquirement for being directed to the entity object, wherein described put question to includes that text enquirement and/or voice are putd question to, described to mention The entity object is referred at least in asking;
In the entity object map search correspond to the enquirement medical data, wherein the medical data include with Other relevant entity objects of the entity object for including in the enquirement and/or with the entity that includes in the enquirement The relevant map of object.
2. the method according to claim 1, wherein obtaining medicine number from global metadata source according to predetermined period According to including:
The homepage of the social media account of every field expert doctor is consulted according to predetermined period, wherein the social media packet Include at least one of: Facebook, blog, wechat public platform, medicine forum.
3. the method according to claim 1, wherein the medical data is passed through natural language processing NLP skill Art resolves to the entity object map with incidence relation between each other
The entity object in the medical data is extracted by natural language processing NLP technology, wherein the entity object also wraps It includes: article, paper, disease name, physical therapy method, drug, diet, health-care method, nutrition intake;
The incidence relation between the entity object is identified by machine learning algorithm;
The entity object for each doctor and/or every a kind of disease is generated according to the incidence relation between the entity object Map.
4. method according to any one of claims 1 to 3, which is characterized in that receive the enquirement for being directed to the entity object Include:
The enquirement for being directed to the entity object is received by chat robots;
Search corresponds to after the medical data of the enquirement in the entity object map, the method also includes:
The medical data searched is converted into natural language, is answered or is shown by the chat robots.
5. a kind of searcher of medical data characterized by comprising
Module is obtained, for obtaining medical data from global metadata source according to predetermined period, wherein the global metadata source is extremely It less include: the mainstream social media in global range, medical journals, medical journal, Journalist magazine and encyclopedia;
Parsing module, for the medical data to be resolved to entity object map between each other with incidence relation, wherein The entity object includes at least: doctor, illness and treatment method;
Receiving module, for receiving the enquirement for being directed to the entity object, wherein described put question to includes text enquirement and/or language Sound is putd question to;
Search module, for medical data of the search corresponding to the enquirement in the entity object map, wherein the doctor Learn data include other entity objects relevant to the entity object for including in the enquirement and/or with wrapped in the enquirement The relevant map of the entity object contained.
6. device according to claim 5, which is characterized in that the acquisition module includes:
Unit is consulted, the homepage of the social media account for consulting every field expert doctor according to predetermined period, wherein institute Stating social media includes at least one of: Facebook, blog, wechat public platform, medicine forum.
7. device according to claim 6, which is characterized in that the parsing module includes:
Extraction unit, for extracting the entity object in the medical data by natural language processing NLP technology, wherein institute State entity object further include: article, paper, disease name, physical therapy method, drug, diet, health-care method, nutrition intake;
Recognition unit, for identifying the incidence relation between the entity object by machine learning algorithm;
Generation unit is directed to each doctor and/or every one kind for generating according to the incidence relation between the entity object The entity object map of disease.
8. according to the described in any item devices of claim 5 to 7, which is characterized in that the receiving module includes:
Chat robots, for receiving the enquirement for being directed to the entity object;
Described device further includes conversion module, for the medical data searched to be converted into natural language;
The chat robots are also used to, and the natural language after conversion is answered or shown.
9. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer Program is arranged to execute method described in any one of Claims 1-4 when operation.
10. a kind of electronic device, including memory and processor, which is characterized in that be stored with computer journey in the memory Sequence, the processor are arranged to run the computer program to execute side described in any one of Claims 1-4 Method.
CN201910562715.9A 2019-06-26 2019-06-26 Searching method and device, storage medium, the electronic device of medical data Pending CN110349677A (en)

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