CN110472028A - Medical problem based on artificial intelligence and big data answers system and method automatically - Google Patents
Medical problem based on artificial intelligence and big data answers system and method automatically Download PDFInfo
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- CN110472028A CN110472028A CN201910679098.0A CN201910679098A CN110472028A CN 110472028 A CN110472028 A CN 110472028A CN 201910679098 A CN201910679098 A CN 201910679098A CN 110472028 A CN110472028 A CN 110472028A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000003745 diagnosis Methods 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 239000003814 drug Substances 0.000 claims description 30
- 229940079593 drug Drugs 0.000 claims description 28
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 17
- 201000010099 disease Diseases 0.000 claims description 15
- 238000012216 screening Methods 0.000 claims description 9
- 238000012550 audit Methods 0.000 claims description 6
- 238000013475 authorization Methods 0.000 claims description 3
- 238000012790 confirmation Methods 0.000 claims 2
- 206010037660 Pyrexia Diseases 0.000 description 4
- 241000282326 Felis catus Species 0.000 description 3
- 206010019233 Headaches Diseases 0.000 description 2
- 231100000869 headache Toxicity 0.000 description 2
- 201000009240 nasopharyngitis Diseases 0.000 description 2
- RZVAJINKPMORJF-UHFFFAOYSA-N Acetaminophen Chemical compound CC(=O)NC1=CC=C(O)C=C1 RZVAJINKPMORJF-UHFFFAOYSA-N 0.000 description 1
- BSYNRYMUTXBXSQ-UHFFFAOYSA-N Aspirin Chemical compound CC(=O)OC1=CC=CC=C1C(O)=O BSYNRYMUTXBXSQ-UHFFFAOYSA-N 0.000 description 1
- 241000230452 Cyclothone braueri Species 0.000 description 1
- 206010057190 Respiratory tract infections Diseases 0.000 description 1
- 206010046306 Upper respiratory tract infection Diseases 0.000 description 1
- 229960001138 acetylsalicylic acid Drugs 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229940124579 cold medicine Drugs 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- DCOPUUMXTXDBNB-UHFFFAOYSA-N diclofenac Chemical compound OC(=O)CC1=CC=CC=C1NC1=C(Cl)C=CC=C1Cl DCOPUUMXTXDBNB-UHFFFAOYSA-N 0.000 description 1
- 229960001259 diclofenac Drugs 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 229960005489 paracetamol Drugs 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Medical Informatics (AREA)
- Human Computer Interaction (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a kind of medical problems based on artificial intelligence and big data to answer system and method automatically, obtains the medical problem of patient's input, and the setting keyword for including in automatic identification medical problem；Answer is screened according to the quantity of setting keyword and grade；Obtain the higher medical doctor of diagnosis records, frequency that user is searched for after patient authorizes；Corresponding artificial intelligence model is generated according to the medical habit of each doctor, artificial intelligence model is selected according to the conclusion of patient analysis's unit, the answer filtered out is replied to patient according to the medical habit of corresponding medical doctor by artificial intelligence model, if patient's unauthorized or without diagnosis records or the medical doctor high without frequency, randomly chooses artificial intelligence model and reply answer to patient.The present invention generates corresponding artificial intelligence model according to the medical habit of each doctor, more intelligent than using uniform template, also can be to there is the patient of preference to provide required artificial intelligence model.
Description
Technical field
The present invention relates to artificial intelligence and big data field, particularly relate to a kind of medicine based on artificial intelligence and big data
Problem answers system and method automatically.
Background technique
It is taken a long time currently, patient sees a doctor needs to large hospital, the interrogation time after seeing doctor only has short
A few minutes waste the time of patient, easily cause the discontented mood of patient.For this purpose, releasing based on artificial intelligence and big data
Intelligence auxiliary interrogation system etc., the query of patient is answered by artificial intelligence, however the template of the answer of artificial intelligence is all automatically
It is identical, it is all identical for all patients, so can slightly show stiff.And some patients obviously have the doctor of preference, manually
The standard of intelligence answers the demand that template is not able to satisfy patient.
Summary of the invention
The present invention proposes that a kind of medical problem based on artificial intelligence and big data answers system and method automatically, solves
The template of the answer of artificial intelligence is all identical in the prior art, is all identical for all patients, so can slightly show slow-witted
Plate, and some patients obviously have the doctor of preference, the standard of artificial intelligence answers the problem of template is not able to satisfy the demand of patient.
The technical scheme of the present invention is realized as follows:
A kind of medical problem based on artificial intelligence and big data answers system automatically, including
Problem input unit, for obtaining the medical problem of patient's input, and include in automatic identification medical problem sets
Determine keyword；
Question analysis unit, for screening answer according to the quantity and grade of setting keyword；
Patient analysis's unit, for obtaining the higher medical doctor of diagnosis records, frequency for searching for user after patient authorizes；
Model of mind unit, for generating corresponding artificial intelligence model according to the medical habit of each doctor, according to trouble
The conclusion of person's analytical unit selects artificial intelligence model, and artificial intelligence model is by the answer filtered out according to corresponding medical doctor
Medical habit reply to patient, if patient's unauthorized or without diagnosis records or the medical doctor high without frequency, randomly choose
Artificial intelligence model replys answer to patient.
As a preferred embodiment of the present invention, described problem input unit including but not limited to passes through voice, text
Or image mode obtains the medical problem of patient's input, and the setting keyword for including in automatic identification medical problem, setting
Keyword includes but is not limited to disease name, illness, drug, treatment method, patient subject, patient behavior and inquiry word.
As a preferred embodiment of the present invention, described problem analytical unit, for the quantity according to setting keyword
Answer is screened with grade；It refers specifically to
Keyword classification will be set, disease name, illness, drug, the relevant word for the treatment of method are therefrom extracted, screening is answered
Case, and according to the dialect of setting keyword whether sets the professional grade of answer.
As a preferred embodiment of the present invention, corresponding artificial intelligence mould is generated according to the medical habit of each doctor
Type refers specifically to, and speech habits, problem consulting habit, the illness linked up according to each doctor and patient confirm habit and use
Medicine habit establishes the artificial intelligence model with corresponding habit.
As a preferred embodiment of the present invention, further include
Doctor makes a definite diagnosis unit, for artificial intelligence model reply answer to be transmitted to doctor's audit according to the demand of patient.
A kind of medical problem based on artificial intelligence and big data answers method automatically, including
S1 obtains the medical problem of patient's input, and the setting keyword for including in automatic identification medical problem；
S2 screens answer according to the quantity of setting keyword and grade；
S3 obtains the higher medical doctor of diagnosis records, frequency of search user after patient's authorization；
S4 generates corresponding artificial intelligence model according to the medical habit of each doctor, according to the knot of patient analysis's unit
By selection artificial intelligence model, artificial intelligence model replys the answer filtered out according to the medical habit of corresponding medical doctor
To patient, if patient's unauthorized or without diagnosis records or the medical doctor high without frequency, randomly chooses artificial intelligence model and return
Multiple answer is to patient.
As a preferred embodiment of the present invention, the step S1 obtains the medical problem of patient's input, and knows automatically
The setting keyword for including in other medical problem；It refers specifically to
The medical problem of patient's input, and automatic identification are including but not limited to obtained by voice, text or image mode
The setting keyword for including in medical problem, the keyword of setting include but is not limited to disease name, illness, drug, treatment side
Method, patient subject, patient behavior and inquiry word.
As a preferred embodiment of the present invention, step S2 screens answer according to the quantity of setting keyword and grade；
It refers specifically to
Keyword classification will be set, disease name, illness, drug, the relevant word for the treatment of method are therefrom extracted, screening is answered
Case, and according to the dialect of setting keyword whether sets the professional grade of answer.
As a preferred embodiment of the present invention, corresponding artificial intelligence mould is generated according to the medical habit of each doctor
Type refers specifically to, and speech habits, problem consulting habit, the illness linked up according to each doctor and patient confirm habit and use
Medicine habit establishes the artificial intelligence model with corresponding habit.
It is further comprising the steps of as a preferred embodiment of the present invention
Artificial intelligence model reply answer is transmitted to doctor's audit according to the demand of patient by S5.
The beneficial effects of the present invention are: corresponding artificial intelligence model is generated according to the medical habit of each doctor, than
It is more intelligent using uniform template, it also can be to there is the patient of preference to provide required artificial intelligence model.
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 only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is that a kind of medical problem based on artificial intelligence and big data of the present invention answers system one embodiment automatically
Functional block diagram；
Fig. 2 is that a kind of medical problem based on artificial intelligence and big data of the present invention answers method one embodiment automatically
Flow chart.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the invention proposes a kind of medical problems based on artificial intelligence and big data to answer system automatically,
Including
Problem input unit, for obtaining the medical problem of patient's input, and include in automatic identification medical problem sets
Determine keyword；
Question analysis unit, for screening answer according to the quantity and grade of setting keyword；
Patient analysis's unit, for obtaining the higher medical doctor of diagnosis records, frequency for searching for user after patient authorizes；
Model of mind unit, for generating corresponding artificial intelligence model according to the medical habit of each doctor, according to trouble
The conclusion of person's analytical unit selects artificial intelligence model, and artificial intelligence model is by the answer filtered out according to corresponding medical doctor
Medical habit reply to patient, if patient's unauthorized or without diagnosis records or the medical doctor high without frequency, randomly choose
Artificial intelligence model replys answer to patient.
Problem input unit is including but not limited to asked by the medicine that voice, text or image mode obtain patient's input
Topic, and the setting keyword for including in automatic identification medical problem, the keyword of setting include but is not limited to disease name, disease
Disease, drug, treatment method, patient subject, patient behavior and inquiry word.
For example the medical problem of patient's input is: what if is cat fever my baby's cat fever sneeze this eat it is assorted
Medicine it needs to extract corresponding keyword from medical problem.
Question analysis unit, for screening answer according to the quantity and grade of setting keyword；It refers specifically to
Keyword classification will be set, disease name, illness, drug, the relevant word for the treatment of method are therefrom extracted, screening is answered
Case, and according to the dialect of setting keyword whether sets the professional grade of answer.
It is more about disease name, illness, drug and the relevant word for the treatment of method in the medical problem of patient's input
More correct problem is filtered out convenient for artificial intelligence model.And the professional degree of the word in the medical problem of patient's input determines
The professional degree that artificial intelligence model is answered a question.Such as the medical problem of patient's input are as follows: 1, upper respiratory tract infection fever
What if is headache 2, what if is cat fever headache for problem 1, can reply: it is recommended that taking containing antipyretic-antalgic ingredient ---
The cold drug of paracetamol, aspirin, Diclofenac.For problem 2, can reply: it is recommended that take sense health, can Garrick,
999 cold drugs, morning-night day piece etc..
Than the following table is common cold the effective elements of the medicine and feature list:
Principle active component contained by common cold medicine
As a preferred embodiment of the present invention, corresponding artificial intelligence mould is generated according to the medical habit of each doctor
Type refers specifically to, and speech habits, problem consulting habit, the illness linked up according to each doctor and patient confirm habit and use
Medicine habit establishes the artificial intelligence model with corresponding habit.
Than if any doctor's interrogation when the tone it is more casual, some doctors be good at guide patient description.
As a preferred embodiment of the present invention, further include
Doctor makes a definite diagnosis unit, for artificial intelligence model reply answer to be transmitted to doctor's audit according to the demand of patient.
After doctor makes a definite diagnosis, the drug list needed for patient can be transmitted directly to hospital pharmacy, patient is with proof of identification to pharmacy
Drug is taken, the end PC, web terminal, wechat small routine can be set in this system, and patient relies on network inputs medical problem, obtains artificial
After the reply of model of mind and after the making a definite diagnosis of doctor, can be directly to the pharmaceutical drug taking of hospital, dramatically save patient when
Between.
As shown in Fig. 2, the invention also provides a kind of medical problem based on artificial intelligence and big data sides of answer automatically
Method, including
S1 obtains the medical problem of patient's input, and the setting keyword for including in automatic identification medical problem；
S2 screens answer according to the quantity of setting keyword and grade；
S3 obtains the higher medical doctor of diagnosis records, frequency of search user after patient's authorization；
S4 generates corresponding artificial intelligence model according to the medical habit of each doctor, according to the knot of patient analysis's unit
By selection artificial intelligence model, artificial intelligence model replys the answer filtered out according to the medical habit of corresponding medical doctor
To patient, if patient's unauthorized or without diagnosis records or the medical doctor high without frequency, randomly chooses artificial intelligence model and return
Multiple answer is to patient.
As a preferred embodiment of the present invention, step S1 obtains the medical problem of patient's input, and automatic identification is cured
The setting keyword for including in knowledge topic；It refers specifically to
The medical problem of patient's input, and automatic identification are including but not limited to obtained by voice, text or image mode
The setting keyword for including in medical problem, the keyword of setting include but is not limited to disease name, illness, drug, treatment side
Method, patient subject, patient behavior and inquiry word.
As a preferred embodiment of the present invention, step S2 screens answer according to the quantity of setting keyword and grade；
It refers specifically to
Keyword classification will be set, disease name, illness, drug, the relevant word for the treatment of method are therefrom extracted, screening is answered
Case, and according to the dialect of setting keyword whether sets the professional grade of answer.
As a preferred embodiment of the present invention, corresponding artificial intelligence mould is generated according to the medical habit of each doctor
Type refers specifically to, and speech habits, problem consulting habit, the illness linked up according to each doctor and patient confirm habit and use
Medicine habit establishes the artificial intelligence model with corresponding habit.
It is further comprising the steps of as a preferred embodiment of the present invention
Artificial intelligence model reply answer is transmitted to doctor's audit according to the demand of patient by S5.It, can after doctor makes a definite diagnosis
Drug list needed for patient is transmitted directly to hospital pharmacy, for patient with proof of identification to pharmaceutical drug taking object, this system can
The end PC, web terminal, wechat small routine is arranged, patient relies on network inputs medical problem, obtains the reply of artificial intelligence model
Afterwards and after the making a definite diagnosis of doctor, it can be directly to the pharmaceutical drug taking of hospital, dramatically save the time of patient.
The present invention generates corresponding artificial intelligence model according to the medical habit of each doctor, than using uniform template more
Intelligence, also can be to there is the patient of preference to provide required artificial intelligence model.
The above is merely preferred embodiments of the present invention, be not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of medical problem based on artificial intelligence and big data answers system automatically, it is characterised in that: including
Problem input unit, for obtaining the medical problem of patient's input, and the setting for including in automatic identification medical problem is closed
Keyword；
Question analysis unit, for screening answer according to the quantity and grade of setting keyword；
Patient analysis's unit, for obtaining the higher medical doctor of diagnosis records, frequency for searching for user after patient authorizes；
Model of mind unit, for generating corresponding artificial intelligence model according to the medical habit of each doctor, according to patient point
Analyse unit conclusion select artificial intelligence model, artificial intelligence model by the answer filtered out according to corresponding medical doctor just
It examines habit and replies to patient, if patient's unauthorized or without diagnosis records or the medical doctor high without frequency, random selection is artificial
Model of mind replys answer to patient.
2. the medical problem according to claim 1 based on artificial intelligence and big data answers system automatically, feature exists
In: described problem input unit is including but not limited to asked by the medicine that voice, text or image mode obtain patient's input
Topic, and the setting keyword for including in automatic identification medical problem, the keyword of setting include but is not limited to disease name, disease
Disease, drug, treatment method, patient subject, patient behavior and inquiry word.
3. the medical problem according to claim 2 based on artificial intelligence and big data answers system automatically, feature exists
In: described problem analytical unit, for screening answer according to the quantity and grade of setting keyword；It refers specifically to
Keyword classification will be set, disease name, illness, drug, the relevant word for the treatment of method are therefrom extracted, screens answer,
And the professional grade of answer is set whether according to the dialect of setting keyword.
4. the medical problem according to claim 2 or 3 based on artificial intelligence and big data answers system, feature automatically
It is:
Corresponding artificial intelligence model is generated according to the medical habit of each doctor, is referred specifically to, according to each doctor and is suffered from
Speech habits, problem consulting habit, illness confirmation habit and the medication habit that person links up establish the artificial intelligence with corresponding habit
It can model.
5. the medical problem according to claim 4 based on artificial intelligence and big data answers system automatically, feature exists
In: further include
Doctor makes a definite diagnosis unit, for artificial intelligence model reply answer to be transmitted to doctor's audit according to the demand of patient.
6. a kind of medical problem based on artificial intelligence and big data answers method automatically, which is characterized in that including
S1 obtains the medical problem of patient's input, and the setting keyword for including in automatic identification medical problem；
S2 screens answer according to the quantity of setting keyword and grade；
S3 obtains the higher medical doctor of diagnosis records, frequency of search user after patient's authorization；
S4 generates corresponding artificial intelligence model according to the medical habit of each doctor, is selected according to the conclusion of patient analysis's unit
Artificial intelligence model is selected, the answer filtered out is replied to trouble according to the medical habit of corresponding medical doctor by artificial intelligence model
Person randomly chooses artificial intelligence model reply and answers if patient's unauthorized or without diagnosis records or the medical doctor high without frequency
Case is to patient.
7. the medical problem according to claim 6 based on artificial intelligence and big data answers method automatically, feature exists
In the step S1 obtains the medical problem of patient's input, and the setting keyword for including in automatic identification medical problem；Tool
Body refers to
The medical problem of patient's input, and automatic identification medicine are including but not limited to obtained by voice, text or image mode
The setting keyword for including in problem, the keyword of setting include but is not limited to disease name, illness, drug, treatment method, trouble
Person's main body, patient behavior and inquiry word.
8. the medical problem according to claim 7 based on artificial intelligence and big data answers method automatically, feature exists
In step S2 screens answer according to the quantity of setting keyword and grade；It refers specifically to that keyword classification will be set, therefrom
Disease name, illness, drug, the relevant word for the treatment of method are extracted, screens answer, and according to the dialect of setting keyword
Whether set the professional grade of answer.
9. the medical problem according to claim 7 or 8 based on artificial intelligence and big data answers method, feature automatically
It is, corresponding artificial intelligence model is generated according to the medical habit of each doctor, is referred specifically to, according to each doctor and suffers from
Speech habits, problem consulting habit, illness confirmation habit and the medication habit that person links up establish the artificial intelligence with corresponding habit
It can model.
10. the medical problem according to claim 9 based on artificial intelligence and big data answers method automatically, feature exists
In further comprising the steps of
Artificial intelligence model reply answer is transmitted to doctor's audit according to the demand of patient by S5.
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| CN112242189A (en) * | 2020-10-10 | 2021-01-19 | 北京小乔机器人科技发展有限公司 | Online voice medicine finding method |
| CN112349419A (en) * | 2020-08-27 | 2021-02-09 | 北京颢云信息科技股份有限公司 | Real world research method based on medical data and artificial intelligence |
| CN112509685A (en) * | 2020-12-31 | 2021-03-16 | 曜立科技(北京)有限公司 | Standardization method and system for screening operation modes |
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Application publication date: 20191119 |