CN110289068A - Drug recommended method and equipment - Google Patents
Drug recommended method and equipment Download PDFInfo
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- CN110289068A CN110289068A CN201910534894.5A CN201910534894A CN110289068A CN 110289068 A CN110289068 A CN 110289068A CN 201910534894 A CN201910534894 A CN 201910534894A CN 110289068 A CN110289068 A CN 110289068A
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- G—PHYSICS
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/24564—Applying rules; Deductive queries
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
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Abstract
The embodiment of the present invention provides a kind of drug recommended method and equipment, and this method includes receiving the personal information of user's input；The personal information includes at least one of following: symptom, age, gender, site of pathological change, medical history, drug allergy history；It according to the personal information, is retrieved in drug knowledge base, and according to search result, obtains the first drug list；Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data；According to preset drug reasoning library, the drug in the first drug list is screened, the second drug list is obtained, the second drug list is pushed to user；Wherein, drug reasoning library is to be constructed according to drug recommendation rules and the drug knowledge base by inference engine.The embodiment of the present invention can accurately recommend suitable drug under the premise of guaranteeing the drug safety of user to user, and then promote the medication experience of user.
Description
Technical field
The present embodiments relate to field of communication technology more particularly to a kind of drug recommended methods and equipment.
Background technique
With the development of medicine, patient can buy more drugs from local pharmacy or online pharmacy, mention for patient
Convenience has been supplied, then for time and medical expense is saved, there are more and more people when suffering from mild disease, can choose attached
Medicine treatment is voluntarily bought by close pharmacy.
In the prior art, several pharmacists can be configured in pharmacy, drug shopping guide is carried out by pharmacist.
However, pharmacist's holds that medicine ability is irregular, the drug recommended sometimes is simultaneously improper, and user experience is bad.
Summary of the invention
The embodiment of the present invention provides a kind of drug recommended method and equipment, to improve the accuracy of drug recommendation
In a first aspect, the embodiment of the present invention provides a kind of drug recommended method, comprising:
Receive the personal information of user's input；The personal information includes at least one of following: symptom, the age, gender,
Site of pathological change, medical history, drug allergy history；
It according to the personal information, is retrieved in drug knowledge base, and according to search result, obtains the first drug column
Table；Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data；
According to preset drug reasoning library, the drug in the first drug list is screened, obtains the second drug
The second drug list is pushed to user by list；Wherein, drug reasoning library is according to drug recommendation rules and institute
Drug knowledge base is stated, is constructed by inference engine；The drug recommendation rules be according to the contraindication of drug, taboo crowd and
Drug interacts what attribute was established.
It is described to be retrieved in drug knowledge base according to the personal information in a kind of possible design, and according to
Search result obtains the first drug list, comprising:
The symptom of user is determined according to the personal information；
By word frequency-inverse document frequency TF-IDF algorithm, the symptom with the user is searched in drug knowledge base
Matched drug obtains the first drug list.
It is described to be retrieved in drug knowledge base according to the personal information in a kind of possible design, and according to
Search result, before the first drug list of acquisition, further includes:
Information extraction is carried out to the drug books, is handled by structuring, determines that each drug being drawn into is treated with it
The incidence relation of symptom, to construct the first knowledge base；
Network interrogation data are obtained, and by mining algorithm, determine that each drug is treated with it in the network interrogation data
The incidence relation of symptom, to construct the second knowledge base；
First knowledge base is merged with second knowledge base, obtains the drug knowledge base.
In a kind of possible design, the personal information for receiving user's input, comprising:
The voice messaging of user's input is received, and using the voice messaging as the personal information of the user.
In a kind of possible design, the voice messaging for receiving user's input, and using the voice messaging as this
After the personal information of user, further includes:
The voice messaging is identified by speech recognition algorithm, obtains text information；
By the text information input natural language understanding NLU model, by the NLU model to the text information into
Row key message extracts, and obtains information extraction result；
It is described to be retrieved in drug knowledge base according to the personal information, and according to search result, obtain the first medicine
Product list, comprising:
According to the information extraction as a result, carrying out retrieval and correlation calculations in drug knowledge base, the first medicine is obtained
Product list.
In a kind of possible design, the personal information for receiving user's input, comprising:
The touch information of user's input is received, and using the touch information as the personal information of the user.
Second aspect, the embodiment of the present invention provide a kind of drug recommendation apparatus, comprising:
Receiving module, for receiving the personal information of user's input；The personal information includes at least one of following: disease
Shape, age, gender, site of pathological change, medical history, drug allergy history；
Retrieval module is retrieved in drug knowledge base for according to the personal information, and according to search result,
Obtain the first drug list；Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data；
Screening module, for being screened to the drug in the first drug list according to preset drug reasoning library,
The second drug list is obtained, the second drug list is pushed to user；Wherein, drug reasoning library is according to drug
Recommendation rules and the drug knowledge base are constructed by inference engine；The drug recommendation rules are the taboos according to drug
What disease, taboo crowd and drug interaction attribute were established.
In a kind of possible design, the retrieval module is specifically used for:
The symptom of user is determined according to the personal information；
By word frequency-inverse document frequency TF-IDF algorithm, the symptom with the user is searched in drug knowledge base
Matched drug obtains the first drug list.
In a kind of possible design, the equipment further include:
First building module is handled, determination is drawn into for carrying out information extraction to the drug books by structuring
Each drug the incidence relation of symptom is treated with it, to construct the first knowledge base；
Network interrogation data are obtained, and by mining algorithm, determine that each drug is treated with it in the network interrogation data
The incidence relation of symptom, to construct the second knowledge base；
First knowledge base is merged with second knowledge base, obtains the drug knowledge base.
In a kind of possible design, the receiving module is specifically used for:
The voice messaging of user's input is received, and using the voice messaging as the personal information of the user.
In a kind of possible design, the equipment, further includes:
Speech recognition module obtains text information for identifying by speech recognition algorithm to the voice messaging；
By the text information input natural language understanding NLU model, by the NLU model to the text information into
Row key message extracts, and obtains information extraction result；
The retrieval module is specifically used for:
According to the information extraction as a result, carrying out retrieval and correlation calculations in drug knowledge base, the first medicine is obtained
Product list.
The third aspect, the embodiment of the present invention provide a kind of drug recommendation apparatus, comprising: at least one processor and storage
Device；
The memory stores computer executed instructions；
At least one described processor executes the computer executed instructions of memory storage so that it is described at least one
Processor executes method described in the various possible designs of first aspect and first aspect as above.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, the computer-readable storage medium
Computer executed instructions are stored in matter, when processor execute the computer executed instructions when, realize first aspect as above with
And method described in the various possible designs of first aspect.
Drug recommended method and equipment provided in this embodiment, the personal information that this method is inputted by receiving user；Institute
It includes at least one of following for stating personal information: symptom, age, gender, site of pathological change, medical history, drug allergy history；According to described
Personal information is retrieved according in drug books and/or the drug knowledge base of network interrogation data building, and according to retrieval
As a result, obtaining the first drug list；It is right by the drug reasoning library according to drug recommendation rules and the drug construction of knowledge base
Drug in the first drug list is screened, and obtains the second drug list, the second drug list is pushed to
User, method provided in this embodiment accurately can recommend to be suitble under the premise of guaranteeing the drug safety of user to user
Drug, and then promoted user medication experience.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the structural schematic diagram for the application scenarios that one embodiment of the invention provides；
Fig. 2 is the flow diagram for the drug recommended method that further embodiment of this invention provides；
Fig. 3 is the flow diagram for the drug recommended method that further embodiment of this invention provides；
Fig. 4 is the structural schematic diagram for the drug recommendation apparatus that further embodiment of this invention provides；
Fig. 5 is the structural schematic diagram for the drug recommendation apparatus that further embodiment of this invention provides；
Fig. 6 is the hardware structural diagram for the drug recommendation apparatus that further embodiment of this invention provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Technical solution of the present invention is described in detail with specifically embodiment below.These specific implementations below
Example can be combined with each other, and the same or similar concept or process may be repeated no more in some embodiments.
Fig. 1 is the structural schematic diagram for the application scenarios that one embodiment of the invention provides.As shown in Figure 1, terminal 101 is energy
The terminal of the personal information of user's input is enough received, for example, smart phone, plate, computer etc., the present embodiment is to terminal 101
Implementation without limitation.Terminal 101 may include the receiving module for receiving the personal information of user's input, and being used for will
Personal information input drug knowledge base is retrieved and exports the retrieval module of drug recommendation list.
During specific implementation, terminal 101 receives the voice messaging or touch information that user inputs, tool by receiving module
Body, which can be touch screen or microphone, correspondingly, the touch information of user's input can be received by touch screen,
The voice messaging of user's input can also be received by microphone.By taking touch information as an example, example is carried out to drug recommendation process and is said
Bright, touch screen pushes symptom input interface to user, and user is according to own situation, and selection meets oneself disease from touch interface
The description of the information such as shape, age, gender, site of pathological change, medical history, drug allergy history.User's selected information is as personal information quilt
It is stored in local or server 102, the personal information of receiving module user input is sent to the drug constructed according to standard works
Knowledge base is retrieved, and is obtained and is recommended drug list, the drug in the drug list by be built in the loudspeaker of terminal 101 into
Row voice broadcast, or picture or text importing are carried out to user by display screen.Optionally, the retrieval of the drug knowledge base
Journey can also be completed by the server 102 connecting with terminal 101.Drug recommended method provided in this embodiment, it is easy to use,
It can intelligence be accurately that user carries out drug recommendation, the medicinal medicine body of purchase for promoting user is tested.
Fig. 2 is the flow diagram for the drug recommended method that further embodiment of this invention provides.As shown in Fig. 2, this method
Include:
201, the personal information of user's input is received；The personal information includes at least one of following: symptom, the age,
Gender, site of pathological change, medical history, drug allergy history.
In practical application, the executing subject of the present embodiment can be for smart phone, plate, computer, car-mounted terminal etc. eventually
End equipment.
In the present embodiment, user input personal information mode can there are many, can be inputted in the form of touch information,
It can also be inputted in the form of voice messaging.
If the form input of touch information, the explanation of embodiment illustrated in fig. 1 can refer to, details are not described herein again.
If the form input of voice messaging, specifically, the exemplary syntax that user can provide according to system, describes oneself
Information, the voice data data such as symptom, age, gender, site of pathological change, medical history, drug allergy history be transferred to data resolution module
Carry out dissection process.The voice input information of user first passes through existing speech recognition technology and switchs to text.Text information passes through
The good natural language understanding of off-line training (Natural Language Understanding, NLU) model (utilizes Chinese point
Word, syntactic analysis and name entity recognition techniques Training) key message extraction is carried out, extract symptom, the year of patient
The information such as age, gender, site of pathological change, medical history, drug allergy history (no leaves a blank), and store the information and taken to local or backstage
It is engaged in device, for subsequent step use.
For example, user inputs voice description " I have 38 degree of body temperature today, there is some rhinorrheas ".
After converting text for the voice messaging by speech recognition module, text is inputted into NLU model, NLU model pair
The text carries out key message extraction, obtains key message " 38 degree of body temperature ", the symptom informations such as " having nasal mucus ".In subsequent step
In, calculating is made inferences in drug knowledge base according to the symptom information, obtains the first drug list.
202, it according to the personal information, is retrieved in drug knowledge base, and according to search result, obtains the first medicine
Product list；Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data.
In practical application, it will be retrieved in the symptom input drug knowledge base of user's input.According in drug knowledge base
The matching degree of each drug and the symptom generates a series of drugs of matching degree from high to low as search result.And choose default row
Drug in name generates the first drug list.Such as it can choose before ranking 10 drug as the first drug list.
Optionally, the symptom of user is determined according to the personal information；It is calculated by word frequency-inverse document frequency TF-IDF
Method searches the matched drug of symptom with the user in drug knowledge base, obtains the first drug list.
It is appreciated that different symptoms can distribute different weights according to its common degree, general common sympton divides
The specific gravity matched is smaller, and the specific gravity that the fewer symptom for (more special) occur is distributed is larger.For example, body heat is that comparison is normal
The symptom seen, faintness are the symptoms of fewer appearance, then the specific gravity that body heat is assigned is smaller, assigned ratio of fainting
Weight is bigger.If in the treatment symptom of a drug including body heat, the treatment symptom of another drug includes fainting, that
The matching degree of second drug and user are greater than first drug.Namely the ranking of second drug wants forward.In addition, drug
The number for the user's symptom for being included is more, and the matching degree of the drug and user are also bigger.
203, according to preset drug reasoning library, the drug in the first drug list is screened, obtains second
The second drug list is pushed to user by drug list；Wherein, drug reasoning library is according to drug recommendation rules
With the drug knowledge base, constructed by inference engine；The drug recommendation rules are according to the contraindication of drug, taboo people
What group and drug interaction attribute were established.
In the present embodiment, drug reasoning library is constructed according to drug recommendation rules and the drug knowledge base
, the control action for recommending drug quality can be played.Optionally, the drug recommendation rules can be by medical expert's system
Fixed rule, specifically, medical expert formulates the recommendation according to attributes such as the contraindication of drug, taboo crowd and drug principles
Rule.
It is appreciated that recommending more reasonable drug for the safety of user for user, needing to according to symptom matching degree
The the first drug list retrieved from drug knowledge base is further screened.To prevent user's purchase from working as predecessor with user
The drug that body situation is not inconsistent, such as the taboo drug of pregnant patients.
It is alternatively possible to which first three drug of screening and sequencing is arranged as second drug from the first drug list
Table.
Drug recommended method provided in this embodiment, by the personal information for receiving user's input；The personal information packet
It includes at least one of following: symptom, age, gender, site of pathological change, medical history, drug allergy history；According to the personal information,
It is retrieved in the drug knowledge base constructed according to drug books and/or network interrogation data, and according to search result, obtains the
One drug list；By the drug reasoning library according to drug recommendation rules and the drug construction of knowledge base, to first medicine
Drug in product list is screened, and obtains the second drug list, the second drug list is pushed to user；It can be
Under the premise of the drug safety for guaranteeing user, accurately recommend suitable drug to user, and then promotes the medication experience of user.
Fig. 3 is the flow diagram for the drug recommended method that further embodiment of this invention provides.As shown in figure 3, this method
Include:
301, the personal information of user's input is received；The personal information includes at least one of following: symptom, the age,
Gender, site of pathological change, medical history, drug allergy history.
Step 301 is similar with step 201 in above-described embodiment in the present embodiment, and details are not described herein again.
302, drug knowledge base is constructed according to drug books and/or network interrogation data.
In the present embodiment, which be can specifically include:
Information extraction is carried out to the drug books, is handled by structuring, determines that each drug being drawn into is treated with it
The incidence relation of symptom, to construct the first knowledge base；
Network interrogation data are obtained, and by mining algorithm, determine that each drug is treated with it in the network interrogation data
The incidence relation of symptom, to construct the second knowledge base；
First knowledge base is merged with second knowledge base, obtains the drug knowledge base.
For the building of the first knowledge base, the drug books can be the authoritative medicine of health organization or expert's recommendation
Books.Specifically, carrying out structuring processing, and utilize existing knowledge library constructing technology to the drug books, such as: SPO is taken out
It takes, entity associated, entity normalizing etc., accurate first knowledge base is improved in foundation, standard works can be taken pictures, be schemed
Picture, and carry out image and turn word processing.And then the step of successively processing by information extraction, knowledge fusion and knowledge, constructs first
Knowledge base.First knowledge base is made of the triple of entity-relationship-entity, such as between symptom entity and drug entity
Association, constitutes a triple.
Wherein, information extraction refers to mutual between entity, attribute and entity from extracting in various types of data sources
Relationship forms the knowledge representation of ontological on this basis, can specifically include to semi-structured data (webpage, encyclopaedia) and non-
Structural data (such as picture, audio, video) memory entity extraction, relationship is extracted and attributes extraction；Knowledge fusion, which refers to, to be obtained
After obtaining new knowledge, need to integrate it, to eliminate contradiction and ambiguity, for example certain entities may be there are many expression, certain
Perhaps, a specific appellation corresponds to multiple and different entities etc., can specifically include structural data (relational database) and third
Party database carries out the representation of knowledge after carrying out Data Integration；Knowledge processing refer to for by fusion new knowledge, need by
After quality evaluation (part needs artificial participation to screen), qualified part could be added in knowledge base, to ensure knowledge
The quality in library can specifically include the functional modules such as entity alignment, ontological construction, the renewal of knowledge, quality evaluation.
It is appreciated that since the data volume for the drug books for constructing the authority that the first knowledge base can use is smaller, together
When in view of the accuracy requirement of pharmaceuticals industry it is relatively high, it is possible to by some medical experts during construction of knowledge base into
Rower note, to guarantee accuracy,
In addition, (will appear some mistakes due to having some losses during image turns text when the first knowledge base of building
Malapropism, such as there are some paragraphs wrong rows etc. occur), need manpower to be become the data of structuring, therefore drug books
Complex disposal process, the drug data that furthermore drug books can be provided are limited, it is possible to obtain other data and carry out to it
Expand, such as doctors and patients' question and answer sentence in a network can be excavated, constructs the second knowledge base.
The content of the first knowledge base and the second knowledge base is finally merged into fusion, obtains the drug knowledge base.From
And it is capable of providing accurate comprehensive drug data.
303, according to drug recommendation rules and the drug knowledge base, drug reasoning library is constructed by inference engine.It is described
Drug recommendation rules are established according to the contraindication of drug, taboo crowd and drug interaction attribute.
It, can be with the drug contraindication in ad hoc analysis drug knowledge base, taboo crowd, drug interaction in the present embodiment
Equal attributes, and artificial constructed drug recommendation rules, with avoidance recommendations risk, (rule of foundation such as: whether patient is pregnant, cannot
Any medicine is eaten, if recommending to need to exclude comprising taboo drug in drug).Utilize existing rule engine technique, input rule
Library and drug knowledge base, to establish special drug quality control system, i.e. drug reasoning library.
304, it according to the personal information, is retrieved in drug knowledge base, and according to search result, obtains the first medicine
Product list.
305, according to preset drug reasoning library, the drug in the first drug list is screened, obtains second
The second drug list is pushed to user by drug list.
Step 304 and step 305 are similar with step 202 in above-described embodiment and step 203 in the present embodiment, herein not
It repeats again.
306, the second drug list is shown or is broadcasted to user.
It is alternatively possible to carry out voice broadcast by loudspeaker, or is shown by display screen to user and recommend drug
Picture and/or text information.User clicks drug picture, can further check the medication that the ingredient of drug and expert provide
Points for attention.
Drug recommended method provided in this embodiment, by using structure according to drug books and/or network interrogation data
Change processing technique and constructs drug knowledge base；And according to drug recommendation rules and drug construction of knowledge base drug reasoning library,
It can be examined according to the personal information according in drug books and/or the drug knowledge base of network interrogation data building
Rope, and according to search result, obtain the first drug list；By according to drug recommendation rules and the drug construction of knowledge base
The drug in the first drug list is screened in drug reasoning library, the second drug list is obtained, by second medicine
Product list is pushed to user；Suitable drug can accurately be recommended to user under the premise of guaranteeing the drug safety of user,
And then promote the medication experience of user.
Fig. 4 is the structural schematic diagram for the drug recommendation apparatus that further embodiment of this invention provides.As shown in figure 4, the drug
Recommendation apparatus 40 includes: receiving module 401, retrieval module 402 and screening module 403.
Receiving module 401, for receiving the personal information of user's input；The personal information includes at least one in following
: symptom, age, gender, site of pathological change, medical history, drug allergy history；
In the present embodiment, user input personal information mode can there are many, can be inputted in the form of touch information,
It can also be inputted in the form of voice messaging.
If the form input of touch information, the explanation of embodiment illustrated in fig. 1 can refer to, details are not described herein again.
If the form input of voice messaging, specifically, the exemplary syntax that user can provide according to system, describes oneself
Information, the voice data data such as symptom, age, gender, site of pathological change, medical history, drug allergy history be transferred to data resolution module
Carry out dissection process.The voice input information of user first passes through existing speech recognition technology and switchs to text.Text information passes through
The good natural language understanding of off-line training (Natural Language Understanding, NLU) model (utilizes Chinese point
Word, syntactic analysis and name entity recognition techniques Training) key message extraction is carried out, extract symptom, the year of patient
The information such as age, gender, site of pathological change, medical history, drug allergy history (no leaves a blank), and store the information and taken to local or backstage
It is engaged in device, for subsequent step use.
For example, user inputs voice description " I have 38 degree of body temperature today, there is some rhinorrheas ".
After converting text for the voice messaging by speech recognition module, text is inputted into NLU model, NLU model pair
The text carries out key message extraction, obtains key message " 38 degree of body temperature ", the symptom informations such as " having nasal mucus ".In subsequent step
In, calculating is made inferences in drug knowledge base according to the symptom information, obtains the first drug list.
Retrieval module 402 is tied for being retrieved in drug knowledge base according to the personal information, and according to retrieval
Fruit obtains the first drug list；Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data；
In practical application, it will be retrieved in the symptom input drug knowledge base of user's input.According in drug knowledge base
The matching degree of each drug and the symptom generates a series of drugs of matching degree from high to low as search result.And choose default row
Drug in name generates the first drug list.Such as it can choose before ranking 10 drug as the first drug list.
Optionally, the symptom of user is determined according to the personal information；It is calculated by word frequency-inverse document frequency TF-IDF
Method searches the matched drug of symptom with the user in drug knowledge base, obtains the first drug list.
It is appreciated that different symptoms can distribute different weights according to its common degree, general common sympton divides
The specific gravity matched is smaller, and the specific gravity that the fewer symptom for (more special) occur is distributed is larger.For example, body heat is that comparison is normal
The symptom seen, faintness are the symptoms of fewer appearance, then the specific gravity that body heat is assigned is smaller, assigned ratio of fainting
Weight is bigger.If in the treatment symptom of a drug including body heat, the treatment symptom of another drug includes fainting, that
The matching degree of second drug and user are greater than first drug.Namely the ranking of second drug wants forward.In addition, drug
The number for the user's symptom for being included is more, and the matching degree of the drug and user are also bigger.
Screening module 403, for being sieved to the drug in the first drug list according to preset drug reasoning library
Choosing obtains the second drug list, the second drug list is pushed to user；Wherein, drug reasoning library is basis
Drug recommendation rules and the drug knowledge base are constructed by inference engine；The drug recommendation rules are according to drug
What contraindication, taboo crowd and drug interaction attribute were established.
In the present embodiment, drug reasoning library is constructed according to drug recommendation rules and the drug knowledge base
, the control action for recommending drug quality can be played.Optionally, the drug recommendation rules can be by medical expert's system
Fixed rule, specifically, medical expert formulates the recommendation according to attributes such as the contraindication of drug, taboo crowd and drug principles
Rule.
It is appreciated that recommending more reasonable drug for the safety of user for user, needing to according to symptom matching degree
The the first drug list retrieved from drug knowledge base is further screened.To prevent user's purchase from working as predecessor with user
The drug that body situation is not inconsistent, such as the taboo drug of pregnant patients.
It is alternatively possible to which first three drug of screening and sequencing is arranged as second drug from the first drug list
Table.
Drug recommendation apparatus provided in an embodiment of the present invention receives the personal information of user's input by receiving module 401；
The personal information includes at least one of following: symptom, age, gender, site of pathological change, medical history, drug allergy history；Retrieve mould
Block 402 is examined according to the personal information according in drug books and/or the drug knowledge base of network interrogation data building
Rope, and according to search result, obtain the first drug list；Screening module 403 passes through according to drug recommendation rules and the drug
The drug reasoning library of construction of knowledge base, screens the drug in the first drug list, obtains the second drug list, with
The second drug list is pushed to user；It can accurately be pushed away to user under the premise of guaranteeing the drug safety of user
Suitable drug is recommended, and then promotes the medication experience of user.
Fig. 5 is the structural schematic diagram for the drug recommendation apparatus that further embodiment of this invention provides.As shown in figure 5, the drug
Recommendation apparatus 40 further include: the first building module 404, speech recognition module 405, second construct module 406.
Optionally, the retrieval module 402 is specifically used for:
The symptom of user is determined according to the personal information；
By word frequency-inverse document frequency TF-IDF algorithm, the symptom with the user is searched in drug knowledge base
Matched drug obtains the first drug list.
Optionally, the equipment further include:
First building module 404 is handled by structuring for carrying out information extraction to the drug books, determines and take out
Each drug and its got treat the incidence relation of symptom, to construct the first knowledge base；
Network interrogation data are obtained, and by mining algorithm, determine that each drug is treated with it in the network interrogation data
The incidence relation of symptom, to construct the second knowledge base；
First knowledge base is merged with second knowledge base, obtains the drug knowledge base.
Optionally, the receiving module 401 is specifically used for:
The voice messaging of user's input is received, and using the voice messaging as the personal information of the user.
Optionally, the equipment, further includes:
Speech recognition module 405 obtains text letter for identifying by speech recognition algorithm to the voice messaging
Breath；
By the text information input natural language understanding NLU model, by the NLU model to the text information into
Row key message extracts, and obtains information extraction result；
The retrieval module is specifically used for:
According to the information extraction as a result, carrying out retrieval and correlation calculations in drug knowledge base, the first medicine is obtained
Product list.
Optionally, the receiving module 401 is specifically used for: receiving the touch information of user's input, and the touch-control is believed
Cease the personal information as the user.
Optionally, the equipment further include: the second building module 406, for according to drug recommendation rules and the drug
Knowledge base is constructed by inference engine；The drug recommendation rules are according to the contraindication of drug, taboo crowd and drug phase
What interaction attribute was established.
Drug recommendation apparatus provided in an embodiment of the present invention, can be used for executing above-mentioned embodiment of the method, realization principle
Similar with technical effect, details are not described herein again for the present embodiment.
Fig. 6 is the hardware structural diagram for the drug recommendation apparatus that further embodiment of this invention provides.As shown in fig. 6, this
The drug recommendation apparatus 60 that embodiment provides includes: at least one processor 601 and memory 602.The drug recommendation apparatus 60
It further include communication component 603.Wherein, processor 601, memory 602 and communication component 603 are connected by bus 604.
During specific implementation, at least one processor 601 executes the computer execution that the memory 602 stores and refers to
It enables, so that at least one processor 601 executes drug recommended method performed by drug recommendation apparatus 60 as above.
When the retrieving in the drug knowledge base of the present embodiment is executed by server, which can be incited somebody to action
The personal information of user's input is sent to server.
The specific implementation process of processor 601 can be found in above method embodiment, and it is similar that the realization principle and technical effect are similar,
Details are not described herein again for the present embodiment.
In above-mentioned embodiment shown in fig. 6, it should be appreciated that processor can be central processing unit (English:
Central Processing Unit, referred to as: CPU), can also be other general processors, digital signal processor (English:
Digital Signal Processor, referred to as: DSP), specific integrated circuit (English: Application Specific
Integrated Circuit, referred to as: ASIC) etc..General processor can be microprocessor or the processor is also possible to
Any conventional processor etc..Hardware processor can be embodied directly in conjunction with the step of invention disclosed method to have executed
At, or in processor hardware and software module combination execute completion.
Memory may include high speed RAM memory, it is also possible to and it further include non-volatile memories NVM, for example, at least one
Magnetic disk storage.
Bus can be industry standard architecture (Industry Standard Architecture, ISA) bus, outer
Portion's apparatus interconnection (Peripheral Component, PCI) bus or extended industry-standard architecture (Extended
Industry Standard Architecture, EISA) bus etc..Bus can be divided into address bus, data/address bus, control
Bus etc..For convenient for indicating, the bus in illustrations does not limit only a bus or a type of bus.
The application also provides a kind of computer readable storage medium, and calculating is stored in the computer readable storage medium
Machine executes instruction, and when processor executes the computer executed instructions, the drug for realizing that drug recommendation apparatus as above executes is pushed away
Recommend method.
Above-mentioned computer readable storage medium, above-mentioned readable storage medium storing program for executing can be by any kind of volatibility or non-
Volatile storage devices or their combination realize that, such as static random access memory (SRAM), electrically erasable is only
It reads memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM) is read-only to deposit
Reservoir (ROM), magnetic memory, flash memory, disk or CD.Readable storage medium storing program for executing can be general or specialized computer capacity
Any usable medium enough accessed.
A kind of illustrative readable storage medium storing program for executing is coupled to processor, to enable a processor to from the readable storage medium storing program for executing
Information is read, and information can be written to the readable storage medium storing program for executing.Certainly, readable storage medium storing program for executing is also possible to the composition portion of processor
Point.Processor and readable storage medium storing program for executing can be located at specific integrated circuit (Application Specific Integrated
Circuits, referred to as: ASIC) in.Certainly, processor and readable storage medium storing program for executing can also be used as discrete assembly and be present in equipment
In.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Program above-mentioned can be stored in a computer readable storage medium.The journey
When being executed, execution includes the steps that above-mentioned each method embodiment to sequence；And storage medium above-mentioned include: ROM, RAM, magnetic disk or
The various media that can store program code such as person's CD.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (13)
1. a kind of drug recommended method characterized by comprising
Receive the personal information of user's input；The personal information includes at least one of following: symptom, age, gender, morbidity
Position, medical history, drug allergy history；
It according to the personal information, is retrieved in drug knowledge base, and according to search result, obtains the first drug list；
Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data；
According to preset drug reasoning library, the drug in the first drug list is screened, obtains the second drug list,
The second drug list is pushed to user；Wherein, drug reasoning library is according to drug recommendation rules and the medicine
Product knowledge base is constructed by inference engine；The drug recommendation rules are according to the contraindication of drug, taboo crowd and drug
Interact what attribute was established.
2. the method according to claim 1, wherein described according to the personal information, in drug knowledge base
It is retrieved, and according to search result, obtains the first drug list, comprising:
The symptom of user is determined according to the personal information；
By word frequency-inverse document frequency TF-IDF algorithm, searches in drug knowledge base and matched with the symptom of the user
Drug, obtain the first drug list.
3. the method according to claim 1, wherein described according to the personal information, in drug knowledge base
It is retrieved, and according to search result, before the first drug list of acquisition, further includes:
Information extraction is carried out to the drug books, is handled by structuring, determines that each drug being drawn into treats symptom with it
Incidence relation, to construct the first knowledge base；
Network interrogation data are obtained, and by mining algorithm, determines in the network interrogation data that each drug treats symptom with it
Incidence relation, to construct the second knowledge base；
First knowledge base is merged with second knowledge base, obtains the drug knowledge base.
4. method according to claim 1-3, which is characterized in that the personal information for receiving user's input,
Include:
The voice messaging of user's input is received, and using the voice messaging as the personal information of the user.
5. according to the method described in claim 4, it is characterized in that, the voice messaging for receiving user's input, and will be described
After voice messaging is as the personal information of the user, further includes:
The voice messaging is identified by speech recognition algorithm, obtains text information；
The text information is inputted into natural language understanding NLU model, the text information is closed by the NLU model
Key information extracts, and obtains information extraction result；
It is described to be retrieved in drug knowledge base according to the personal information, and according to search result, obtain the first drug column
Table, comprising:
According to the information extraction as a result, carrying out retrieval and correlation calculations in drug knowledge base, the first drug column are obtained
Table.
6. method according to claim 1-3, which is characterized in that the personal information for receiving user's input,
Include:
The touch information of user's input is received, and using the touch information as the personal information of the user.
7. a kind of drug recommendation apparatus characterized by comprising
Receiving module, for receiving the personal information of user's input；The personal information includes at least one of following: symptom,
Age, gender, site of pathological change, medical history, drug allergy history；
Retrieval module is obtained for being retrieved in drug knowledge base according to the personal information, and according to search result
First drug list；Wherein, the drug knowledge base is constructed according to drug books and/or network interrogation data；
Screening module is obtained for being screened to the drug in the first drug list according to preset drug reasoning library
The second drug list is pushed to user by the second drug list；Wherein, drug reasoning library is recommended according to drug
The regular and described drug knowledge base is constructed by inference engine；The drug recommendation rules are contraindication, the taboo according to drug
Avoid crowd and drug interacts what attribute was established.
8. equipment according to claim 7, which is characterized in that the retrieval module is specifically used for:
The symptom of user is determined according to the personal information；
By word frequency-inverse document frequency TF-IDF algorithm, searches in drug knowledge base and matched with the symptom of the user
Drug, obtain the first drug list.
9. equipment according to claim 7, which is characterized in that the equipment further include:
First building module is handled, determination is drawn into each for carrying out information extraction to the drug books by structuring
Drug treats the incidence relation of symptom with it, to construct the first knowledge base；
Network interrogation data are obtained, and by mining algorithm, determines in the network interrogation data that each drug treats symptom with it
Incidence relation, to construct the second knowledge base；
First knowledge base is merged with second knowledge base, obtains the drug knowledge base.
10. according to the described in any item equipment of claim 7-9, which is characterized in that the receiving module is specifically used for:
The voice messaging of user's input is received, and using the voice messaging as the personal information of the user.
11. equipment according to claim 10, which is characterized in that the equipment, further includes:
Speech recognition module obtains text information for identifying by speech recognition algorithm to the voice messaging；
The text information is inputted into natural language understanding NLU model, the text information is closed by the NLU model
Key information extracts, and obtains information extraction result；
The retrieval module is specifically used for:
According to the information extraction as a result, carrying out retrieval and correlation calculations in drug knowledge base, the first drug column are obtained
Table.
12. a kind of drug recommendation apparatus characterized by comprising at least one processor and memory；
The memory stores computer executed instructions；
At least one described processor executes the computer executed instructions of the memory storage, so that at least one described processing
Device executes such as drug recommended method as claimed in any one of claims 1 to 6.
13. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
It executes instruction, when processor executes the computer executed instructions, realizes such as drug as claimed in any one of claims 1 to 6
Recommended method.
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