CN109065139A - Medical follow up method, apparatus, computer equipment and storage medium - Google Patents

Medical follow up method, apparatus, computer equipment and storage medium Download PDF

Info

Publication number
CN109065139A
CN109065139A CN201811051859.XA CN201811051859A CN109065139A CN 109065139 A CN109065139 A CN 109065139A CN 201811051859 A CN201811051859 A CN 201811051859A CN 109065139 A CN109065139 A CN 109065139A
Authority
CN
China
Prior art keywords
follow
symptom
response message
data
patient
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201811051859.XA
Other languages
Chinese (zh)
Inventor
管音
程吉安
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ping An Technology Shenzhen Co Ltd
Original Assignee
Ping An Technology Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ping An Technology Shenzhen Co Ltd filed Critical Ping An Technology Shenzhen Co Ltd
Priority to CN201811051859.XA priority Critical patent/CN109065139A/en
Publication of CN109065139A publication Critical patent/CN109065139A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT 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

Abstract

This application involves the natural language processing in artificial intelligence field, especially a kind of medical follow up method, apparatus, computer equipment and storage medium, comprising: obtain the identity information to follow-up patient；Initial follow-up problem is generated according to identity information, and initial follow-up problem is sent to and to the corresponding user terminal of follow-up patient, receives user terminal return and the first response message corresponding to initial follow-up problem；The first symptom solid data is extracted from the first response message；Inquiry is associated with symptom solid data with corresponding to the first symptom solid data from medical knowledge mapping；Association follow-up problem is generated according to association symptom solid data, and association follow-up problem is sent to and to the corresponding user terminal of follow-up patient, receives user terminal return and be associated with the second response message corresponding to follow-up problem；The medical treatment score value to follow-up patient is calculated according to the first response message and the second response message, and exports Follow-up results.This method can be improved follow-up efficiency.

Description

Medical follow up method, apparatus, computer equipment and storage medium
Technical field
This application involves field of computer technology, more particularly to a kind of medical follow up method, apparatus, computer equipment and Storage medium.
Background technique
In medical field, medical institutions often will do it follow-up namely medical institutions and carry out to the patient once to go to a doctor The modes such as communication periodically understand conditions of patients, to periodically understand conditions of patients variation, and instruct a kind of sight of Rehabilitation Examine method.
Traditionally, the special medical staff of medical institutions is needed to carry out follow-up one by one to patient, then if there is largely suffering from When person carries out follow-up, then heavy workload and low efficiency of the medical staff to follow-up of patients.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of medical follow up method that can be improved follow-up efficiency, Device, computer equipment and storage medium.
A kind of medical follow up method, which comprises
Obtain the identity information to follow-up patient；
Generate initial follow-up problem according to the identity information, and by the initial follow-up problem be sent to it is described to Visit the corresponding user terminal of patient, receive that the user terminal returns with the first response corresponding to the initial follow-up problem Information；
The first symptom solid data is extracted from first response message；
Inquiry is associated with symptom solid data with corresponding to the first symptom solid data from medical knowledge mapping；
Generate association follow-up problem according to the association symptom solid data, and the association follow-up problem is sent to and It is described it is to the corresponding user terminal of follow-up patient, receiving that the user terminal returns with corresponding to the association follow-up problem Second response message；
The medical treatment score value to follow-up patient is calculated according to first response message and second response message, And it exports and Follow-up results corresponding to the medical treatment score value.
It is described according to first response message and second response message calculating in one of the embodiments, To the medical treatment score value of follow-up patient, and export and Follow-up results corresponding to the medical treatment score value, comprising:
Extract the second symptom solid data for including in second response message；
Inquire corresponding first scoring of the first symptom solid data and the first scoring weight；
Inquire the second scoring corresponding to the second symptom solid data and the second scoring weight；
According to first scoring, the first scoring weight, second scoring and the second scoring weight meter Calculate medical treatment score value；
When the medical treatment score value is more than medical treatment threshold value, then medical treatment prompt information is exported as Follow-up results.
The first symptom solid data extracted in first response message in one of the embodiments, comprising:
Obtain participle logic corresponding to first response message；
The first response message after being split first response message according to the participle logic；
The first response message after fractionation is matched with the data to be matched in the symptom data library prestored；
When successful match, then will make with the first response message after the Data Matching to be matched successfully fractionation For the first symptom solid data.
The inquiry from medical knowledge mapping and the first symptom solid data institute are right in one of the embodiments, The association symptom solid data answered, comprising:
Associated first disease data is inquired from medical knowledge mapping according to the first symptom solid data；
Inquiry second disease data to include in the identity information of follow-up patient；
Judge whether first disease data is the corresponding complication of second disease data；
When first disease data complication corresponding for second disease data, then the medical knowledge is inquired Symptom solid data associated by first disease data in map, the associated symptom solid data is real as association symptom Volume data.
It is described in one of the embodiments, that initial follow-up problem is generated according to the identity information, comprising:
According to the identity information, health account corresponding with the identity information is obtained；
Inquire the default follow up time for including in the health account；
When system time reaches the default follow up time, then follow-up prompt information is exported；
The follow-up enabled instruction corresponding with the follow-up prompt information for receiving input, is looked into according to the follow-up enabled instruction Ask follow-up number；
Initial follow-up problem is generated according to the follow-up number.
It is described according to first response message and second response message calculating in one of the embodiments, To the medical treatment score value of follow-up patient, and after Follow-up results corresponding to output and the medical treatment score value, comprising:
It obtains described to follow-up preset value corresponding to follow-up patient；
Compare the medical treatment score value and the follow-up preset value；
When the medical treatment score value is more than the follow-up preset value, then shift to an earlier date follow-up mark to follow-up patient addition to described Label, described shift to an earlier date carry pre-set time on follow-up label；
The default follow up time is changed to the pre-set time according to the follow-up label in advance.
The association follow-up problem generated according to the association symptom solid data in one of the embodiments, packet It includes:
Statistics is according to quantity the problem of the association follow-up problem for being associated with the generation of symptom solid data；
When described problem quantity is more than preset value, then selection template is chosen；
Follow-up problem is associated with according to the selection template generation；
When described problem quantity is less than preset value, then question and answer template is chosen；
Follow-up problem is associated with according to the question and answer template generation.
A kind of medical follow up device, described device include:
Module is obtained, for obtaining the identity information to follow-up patient；
First response message receiving module, for generating initial follow-up problem according to the identity information, and will be described first Beginning follow-up problem is sent to described to the corresponding user terminal of follow-up patient, receive that the user terminal returns with it is described just First response message corresponding to beginning follow-up problem；
Extraction module, for extracting the first symptom solid data from first response message；
Enquiry module, for the inquiry from medical knowledge mapping and associated diseases corresponding to the first symptom solid data Shape solid data；
Second response message receiving module, for generating association follow-up problem according to the association symptom solid data, and The association follow-up problem is sent to described to the corresponding user terminal of follow-up patient, receives what the user terminal returned With the second response message corresponding to the association follow-up problem；
Computing module, it is described to follow-up patient for being calculated according to first response message and second response message Medical treatment score value, and export with the medical treatment score value corresponding to Follow-up results.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing The step of device realizes the above method when executing the computer program.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor The step of above-mentioned method is realized when row.
Above-mentioned medical follow up method, apparatus, computer equipment and storage medium, without manually to different to follow-up patient Carry out follow-up one by one, corresponding follow-up problem directly can be generated according to the identity information to follow-up patient, so receive with The first corresponding response message of access topic, and according to the symptom solid data in the first response message, from medical knowledge mapping Middle inquiry be associated with symptom solid data corresponding to symptom solid data, and generated according to association symptom solid data be associated with Access topic receives and is associated with the second response message corresponding to follow-up problem, according to the first response message and the second response message The medical treatment score value to follow-up patient is calculated, corresponding Follow-up results are exported, to complete medical follow up, improves follow-up efficiency.
Detailed description of the invention
Fig. 1 is the application scenario diagram of medical follow-up method in one embodiment；
Fig. 2 is the flow diagram of medical follow-up method in one embodiment；
Fig. 3 is the flow diagram of Follow-up results obtaining step in one embodiment；
Fig. 4 is the structural block diagram of medical follow up device in one embodiment；
Fig. 5 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not For limiting the application.
Medical follow up method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, user is whole End 102 is communicated with server 104 by network.Server 104 gets the identity information to follow-up patient, and according to body Part information generates follow-up problem, initial follow-up problem is sent to and to user terminal 102, Jin Erjie corresponding to follow-up patient Receive that user terminal 102 returns with the first response message corresponding to initial follow-up problem, the is extracted from the first response message One symptom solid data, and then server 104 is inquired and pass corresponding to the first symptom solid data from medical knowledge mapping Join symptom solid data, according to association symptom solid data generate association follow-up problem, and will association follow-up problem be sent to To user terminal 102 corresponding to follow-up patient, receive that user terminal 102 returns be associated with second corresponding to follow-up problem Response message calculates the medical treatment score value to follow-up patient according to the first response message and the second response message, and export with just Cure the corresponding Follow-up results of marking system.Wherein, user terminal 102 can be, but not limited to be various personal computers, notebook electricity Brain, smart phone, tablet computer and portable wearable device, server 104 can be either multiple with independent server The server cluster of server composition is realized.
In one embodiment, as shown in Fig. 2, providing a kind of medical follow up method, it is applied in Fig. 1 in this way It is illustrated for server, comprising the following steps:
S02: the identity information to follow-up patient is obtained.
Specifically, the user for needing periodically to carry out understanding change of illness state etc. is referred to follow-up patient.Identity information refers to can To identify the master data of the identity to follow-up patient, identity information can be the name to follow-up patient, age, correspondent party Formula, ID card No. etc..Specifically, server sends to have to obtain to user terminal and ask to the acquisition of the identity information of follow-up patient Ask, user terminal upon receiving the acquisition request, then according to acquisition request, the display reminding information on corresponding display interface, And then identity information corresponding with prompt information is inputted according to prompt information to follow-up patient, user terminal is inquired in the presence of use When the identity information of family input, then identity information is sent to server, server gets the identity information to follow-up patient. For example, server to user terminal send have obtain to follow-up patient identity information acquisition request, can be acquisition to The name and ID card No. of patient are visited, user terminal receives the acquisition request, in the display interface display reminding information, can To be " please input name and ID card No. ", user receives the prompt information, inputs name and ID card No., and user is whole When end inquires the name and ID card No. of user's input, then name and ID card No. are sent to server, to take Business device gets the identity information to follow-up patient.
S204: generating initial follow-up problem according to identity information, and by initial follow-up problem be sent to follow-up patient Corresponding user terminal, receive user terminal return with the first response message corresponding to initial follow-up problem.
Specifically, initial follow-up problem refers to the underlying issue generated when server starts follow-up, and initial follow-up problem can To be the health status inquired according to the identity information to follow-up patient, so that the basis relevant to health status generated is asked Topic.First response message refers to that the relevant answer inputted to follow-up patient according to initial follow-up problem, the answer can be root According to answer corresponding with health status underlying issue generated.Specifically, server receives from user terminal and suffers to follow-up The identity information of person inquires the associated health status of identity information, to generate underlying issue conduct relevant to health status Initial follow-up problem, initial follow-up problem is sent to the user terminal, and user terminal carries out the initial follow-up problem received It has been shown that, user input and believe with answer corresponding to initial follow-up problem as the first response according to the initial follow-up problem of display First response message is then back to server, to take when user terminal detects that user's input has the first response message by breath Business device receive user terminal return with the first response message corresponding to initial follow-up problem.For example, server to It visits patient terminal and receives the identity information to follow-up patient, inquire health status associated by identity information, such as corresponding disease Sick information and relevant symptom information etc., server generate corresponding initial follow-up problem according to health status, such as initially with Access topic can be " please describe the nearly 1 month symptom occurred, such as headache, cough ", and server sends out the initial follow-up problem It send to user terminal, user terminal shows the initial follow-up problem in the display interface, to follow-up patient according to the initial follow-up Corresponding answer of problem input is used as the first response message, such as to follow-up patient input " headache, cough, sore-throat ", works as terminal It detects when follow-up patient inputs first response message, then first response message is sent to server, to service Device receives the first response message of user terminal return.
S206: the first symptom solid data is extracted from the first response message.
Specifically, the first symptom solid data refers to the characteristic in the first response message with the corresponding symptom of disease Data.Specifically, when server receives the first response message, then the word for including in the first response message is obtained, in turn The word for including in first response message is matched with pre-stored symptom solid data one by one, the disease extracted and be pre-stored The word of shape solid data successful match is as the first symptom solid data, wherein it is also possible that when server receives first When response message, then the word for including in the first response message is obtained, and corresponding part of speech is marked to word, and then inquire mark Part of speech is the word of noun, so that the word for being labeled as noun be matched with pre-stored symptom solid data, extract and The word of pre-stored symptom solid data successful match is as the first symptom solid data.
S208: inquiry is associated with symptom solid data with corresponding to the first symptom solid data from medical knowledge mapping.
Specifically, medical knowledge map refers to the network that can describe each conception of species present in medical field, medical treatment Knowledge mapping is made of solid data and relation data, and relation data is used to connect different solid datas, and then can be with system Display data between relationship, for example, the solid data stored in medical knowledge map has disease entity data and symptom Solid data, if disease entity data are " flu ", symptom solid data is " fever ", disease entity data and symptom entity number Relation data between is " symptom ".Association symptom solid data refers to disease data corresponding with the first symptom solid data Associated different symptoms, and the corresponding different diseases of complication data of disease data corresponding from the first symptom solid data Shape, and can be disease data associated by the identity information of user with disease data corresponding to the first symptom solid data. Specifically, when server gets the first symptom solid data, using in the first symptom solid data and medical knowledge map Stored symptom solid data is matched, when successful match, then corresponding to the successful symptom solid data of match query Disease entity data will be inquired to inquire symptom solid data different corresponding to associated disease entity data Different symptom datas as association symptom datas.
S210: according to association symptom solid data generate association follow-up problem, and will association follow-up problem be sent to The corresponding user terminal of follow-up patient, receive user terminal return be associated with the second response message corresponding to follow-up problem.
Specifically, when association follow-up problem refers to that server receives association symptom solid data, the relevant issues of generation, The relevant issues can be the problem corresponding with association symptom solid data, and association follow-up problem can be inquiry to follow-up patient Whether the disease symptoms that relevant entity symptom data is characterized.Second response message refers to follow-up patient according to association follow-up Whether the related answers of problem input, the answer returning for the symptom for being associated with that symptom solid data is characterized can occur for characterization It answers.Specifically, when server receives association symptom solid data, then according to the associated entity data generate corresponding association with Access topic, to be sent to the user terminal, and then the association follow-up problem that user terminal display server is sent, user is according to this Corresponding answer of association follow-up problem input is used as the second response message, and then the second response message is returned to clothes by user terminal Business device, so that server receives the second response message corresponding with association follow-up problem.For example, server receives association symptom Solid data is " dizziness ", to generate association follow-up problem according to the associated entity data, association follow-up problem, which can be, " is It is no dizziness occur? ", which is sent to the user terminal by server, and user terminal in the display interface will The association follow-up problem is shown, and then user inputs corresponding answer according to the association follow-up problem of display, which makees For the second response message, and then the second response message is back to server by terminal, and server receives the second response of return Information.
S212: the medical treatment score value to follow-up patient is calculated according to the first response message and the second response message, and is exported With Follow-up results corresponding to medical treatment score value.
Specifically, medical treatment score value refers to the evaluation index whether evaluation needs further to see a doctor to follow-up patient.Specifically The first response message is then extracted, and then according to the first response message and second when server receives the second response message in ground Response message calculates to medical treatment score value corresponding to follow-up patient, and then gets the Follow-up results prestored, the follow-up prestored As a result it is associated with the medical treatment scoring prestored, medical treatment score value is compared with the medical treatment scoring prestored, when comparing successfully, then The Follow-up results prestored associated by the medical treatment score value prestored wait for Follow-up results corresponding to follow-up patient for this, and then should Follow-up results output.It can be, server receives the first response message and the second response message, according in the first response message The first word for including inquires the different corresponding scores of the first word, calculates corresponding first score of the first different words With, and then according to the second word for including in the second response message, the different corresponding scores of the second word is inquired, is calculated different Corresponding second score of the second word and, and then calculate the first score and with the second score and summation as see a doctor scoring Value, medical treatment score value is compared with the standard medical treatment score value prestored, and when comparing successfully, then the standard medical treatment prestored is commented The Follow-up results prestored associated by score value are that this waits for Follow-up results corresponding to follow-up patient, and Follow-up results are exported, Follow-up results can be sent to corresponding user terminal.
In the present embodiment, without manually carrying out follow-up one by one to follow-up patient to different, server can direct basis Identity information to follow-up patient generates initial follow-up problem, and then initial follow-up problem is sent to the user terminal, and receives The first response message corresponding with initial follow-up problem that user terminal returns, and the first symptom is extracted from the first response message Solid data inquires association symptom solid data corresponding with the first symptom solid data, according to pass from medical knowledge mapping Join symptom solid data and generate association follow-up problem, and association follow-up problem is sent to the user terminal, receives user terminal and return Return be associated with the second response message corresponding to follow-up problem, guarantee that the follow-up problem of generation is more comprehensive, and then according to the One response message and the second response message calculate the medical treatment marking system to follow-up patient, and export it is corresponding with medical treatment marking system with It visits as a result, to improve follow-up efficiency.
Fig. 3 is referred in one of the embodiments, and the flow diagram of a Follow-up results obtaining step, follow-up are provided As a result obtaining step, namely according to first response message and second response message calculate it is described to follow-up patient just Score value is cured, and is exported and Follow-up results corresponding to the medical treatment score value, comprising: includes in the second response message of extraction Second symptom solid data；Inquire corresponding first scoring of the first symptom solid data and the first scoring weight；Inquiry second Second scoring corresponding to symptom solid data and the second scoring weight；It is commented according to the first scoring, the first scoring weight, second Point and second scoring weight calculation medical treatment score value；When medical treatment score value is more than medical treatment threshold value, then medical treatment prompt letter is exported Breath is used as Follow-up results.
Specifically, the second symptom solid data refers to the characteristic in the second response message with the corresponding symptom of disease Data.First scoring refers to score corresponding to the first symptom solid data prestored, which can be as the disease corresponding to disease The probability that shape occurs is determined that the score of the first symptom solid data corresponding to the symptom of that is, a certain easier appearance of disease is more It is high.First scoring weight refers to specific gravity shared by the first symptom solid data, namely indicates to be existed according to the first symptom solid data Calculate significance level when medical treatment score value.Second scoring refers to score corresponding to the second symptom solid data prestored, should Score can be determined as the probability that the symptom corresponding to disease occurs, i.e., second corresponding to the symptom of a certain easier appearance of disease The score of symptom solid data is higher.Second scoring weight refers to specific gravity shared by the second symptom solid data, namely mark root According to significance level of the second symptom solid data when calculating medical treatment score value.Medical treatment threshold value refer to evaluation to follow-up patient whether The index for needing to see a doctor that is to say the standard value for whether needing to see a doctor to follow-up patient, namely when medical treatment score value is more than to see a doctor When threshold value, then need to see a doctor to follow-up patient, when medical treatment score value is less than medical treatment threshold value, then need to only continue follow-up without It need to see a doctor.
Specifically, when server receives the second response message, then the second symptom reality is extracted from the second response message Volume data can be and carry out the second response message split to obtaining different words, by obtained different terms one by one with Pre-stored symptom solid data is matched, using the word of successful match as the second symptom solid data, server inquiry Preset first score corresponding to first symptom solid data, while getting and corresponding to the first symptom solid data One scoring weight, and then preset second score corresponding to the second symptom solid data is inquired, while getting and the second disease Second scoring weight corresponding to shape solid data calculates the first product of the first scoring with the first scoring weight, to calculate Second product of the second scoring and the second scoring weight, calculates the summation of the first product and the second product as medical treatment score value, Obtain just and threshold value, medical treatment score value be compared with medical treatment threshold value, when medical treatment score value is more than medical treatment threshold value, then to It visits patient to see a doctor, then generates medical treatment prompt information, such as prompt information of " please seeing a doctor as early as possible ", will as Follow-up results The prompt information is sent to corresponding user terminal, so that user terminal shows the prompt information, wherein when medical treatment is commented When score value is more than medical treatment threshold value, it can also be inquired where medical treatment score value according to the specific value range where medical treatment score value Specific value range associated by prompt information namely associated prompt information can be carried out according to specific value range it is different Setting so that more humane prompting.
For example, such as the second response message is " occurring dizzy ", thus by second when server receives the second response message Response message " occur dizzy " is split, and obtains " occurring " and " dizziness ", thus by obtained word one by one with it is pre-stored Symptom solid data is matched, and the word of successful match is " dizziness ", then " dizziness " is used as the second symptom solid data, and takes The first symptom solid data that business device is got is " fever ", and then the first score value for obtaining " fever " is 90 points, and " hair Burn " first scoring weight be 0.6, " dizziness " second scoring be 80 points, and " dizziness " second score weight be 0.4, then The medical treatment score value being calculated is 86 points, and getting medical treatment threshold value is 80 points, then it is high relatively to obtain medical treatment score value for server When medical treatment threshold value, then server generates prompt information, and then will be prompted to information and be sent to terminal, wherein the prompt of generation is believed Breath can be directly preset unified prompt information, can be " please seeing a doctor as early as possible ", be also possible to inquire corresponding specific Numberical range, according to prompt information different associated by different numberical ranges is inquired, if numberical range is 81 points to 90 points When, it is prompt information " please see a doctor " that numberical range is 91 points to 100 timesharing, is prompt information " please seeing a doctor as early as possible " etc., so as to According to the different scoring ranges where medical treatment score value, corresponding prompt information to be exported, thus be sent to the user terminal, Also will the prompt information as Follow-up results.
In the present embodiment, server receives the second response message, then the second symptom reality is extracted from the second response message Volume data, and according in corresponding first scoring of the first symptom solid data and the first scoring power, the second symptom entity institute is right The second scoring and the second scoring weight answered, calculate medical treatment score value, when medical treatment score value is more than medical treatment threshold value, then export For medical treatment prompt information as Follow-up results, the Follow-up results guaranteed are accurate.
The first symptom solid data in first response message is extracted in one of the embodiments, comprising: is obtained Participle logic corresponding to first response message；The after being split the first response message according to participle logic One response message；The first response message after fractionation is matched with the data to be matched in the symptom data library prestored；When When successful match, then using the first response message after successfully being split with Data Matching to be matched as the first symptom entity number According to.
Specifically, logic refers to and the first response message can be split into several standard terminologies participle, which is Referring to has independent semantic term, is not influenced by the text after or before it, and the text of term content is only passed through With the complete professional conceptual of determination.Symptom data library refers to the database for being stored with symptom corresponding to corresponding disease, namely It is the database for being stored with corresponding symptom solid data.Data to be matched refer to be pre-stored in it is corresponding in symptom data library Symptom data is then used as the first symptom solid data when having other data and the symptom data successful match being pre-stored.Tool Body, server gets participle logic, and then is split the first response message according to participle logic, can be, services Device obtains participle logic corresponding to the first response message prestored, and according to participle logic, the first response message is divided into difference Segmentation sequence, and then inquire different segmentation sequence, calculate the corresponding fractionation accuracy of each segmentation sequence, will split just Participle phrase in the maximum segmentation sequence of true rate is as the first response message after splitting, wherein calculating fractionation accuracy can To be then to obtain the correct of the different participle phrases in preset each segmentation sequence when getting different segmentation sequences Rate, and then the accuracy product of different participle phrases is calculated, thus obtain the corresponding fractionation accuracy of each segmentation sequence, Server carries out the first response message and the data to be matched in the symptom data library that prestores after obtained fractionation one by one Match, when successful match, then using the first response message after successfully being split with Data Matching to be matched as the first symptom reality Volume data.Further, server is answered according to participle logic by first according to participle logic corresponding to the first response message The first response message after information is split is answered, the first response message after fractionation includes having different participle words Group, so that part of speech is added with to different participle phrases, so that the participle phrase of selection addition noun part-of-speech will be added to name The participle phrase of word part of speech is matched with the data to be matched in the symptom data library with storage, when successful match, then will The first response message after the participle phrase of the successful match, namely fractionation is as the first symptom solid data.
In the present embodiment, first after server can split the first response message received is answered Information is answered, and then the first response message after fractionation is matched with the data to be matched in the symptom data library prestored, when When successful match, then using the first response message after successfully being split with Data Matching to be matched as the first symptom entity number According to, thus guarantee that the first symptom solid data of inquiry is simple and easy, raising follow-up efficiency.
It inquires from medical knowledge mapping and is associated with corresponding to the first symptom solid data in one of the embodiments, Symptom solid data, comprising: associated first disease data is inquired from medical knowledge mapping according to the first symptom solid data； Inquire the second disease data for including in the identity information to follow-up patient；Judge whether the first disease data is the second disease number According to corresponding complication；When the first disease data complication corresponding for the second disease data, then medical knowledge map is inquired In symptom solid data associated by the first disease data, using associated symptom solid data as association symptom solid data.
Specifically, the first disease data refers to be connected in medical knowledge map using relation data and the first symptom Disease data associated by solid data.Second disease data refer to that identity information shows to the existing disease number of follow-up patient According to.Specifically, server can inquire the first symptom data according to the first response message to follow-up patient, thus according to First symptom data chooses corresponding complication, and then when calculating medical treatment score value, can also use the corresponding symptom of complication Corresponding association follow-up problem is generated, and then the answer being associated with corresponding to follow-up problem to follow-up patient can participate in calculating, from And guarantee that calculating medical treatment score value is calculated in dimension from comprehensive calculate.
Server gets the first symptom solid data, using the first symptom solid data and is included in medical knowledge map In symptom solid data matched, when successful match, then by with the associated disease of symptom solid data in knowledge mapping Sick solid data gets the body to follow-up patient as the first disease data, and then according to the identity information to follow-up patient Part information can inquire the diagnosis information for waiting for follow-up patient according to the identity information to follow-up patient, and then inquire medical The disease for including in information gets complication database as the second disease data, using the first disease data and simultaneously The data that store are matched in hair disease database, when successful match, then inquire the data of pre-stored successful match and Send out disease, and then inquire the second disease data whether be the complication, when inquire the second disease data be the first disease data and When sending out disease, then according to the first disease data, inquiry include in medical knowledge map with symptom associated by the first disease data Solid data will then inquire and the first disease when inquiring with the first disease data institute associated symptom solid data Symptom solid data associated by sick data is as association symptom solid data, so that server can be real according to the association symptom Volume data generates association follow-up problem.
In the present embodiment, server inquires associated first disease according to the first symptom solid data from medical knowledge mapping Sick data, and then the second disease data for including in the identity information to follow-up patient is inquired, whether judge the first disease data The first disease is then inquired when the first disease data is the complication of the second disease data for the complication of the second disease data Symptom solid data associated by sick data is as association symptom solid data, to guarantee subsequent when calculating medical treatment score value It can be calculated from different dimensions, the Follow-up results guaranteed are accurate.
Follow-up problem is generated according to the identity information in one of the embodiments, comprising: according to identity information, obtain Take health account corresponding to the identity information；The default follow up time for including in inquiry health account；When system time reaches in advance If when follow up time, then exporting follow-up prompt information；Receive the follow-up enabled instruction corresponding with follow-up prompt information of input, root Follow-up number is inquired according to follow-up enabled instruction；Initial follow-up problem is generated according to follow-up number.
Specifically, health account refers to the health of the record log namely user that can show user's related health conditions Situation can be inquired by health account, may include in health account the corresponding essential information of user, it is associated just Examine information, disease information and preset follow-up information etc..For example, may include the name of user, identity card in health account The essential informations such as number, contact method may include the existing disease and corresponding diagnosis information of user, such as be hospitalized Information, information of writing a prescription etc. can also include specific follow up time and Follow-up results etc..Follow-up prompt information refers to output For prompting user to reach follow up time, the information into follow-up is needed, for example, follow-up prompt information can be and " arrived Follow up time, if start follow-up? ".Follow-up enabled instruction refers to that user terminal receives the relevant information of the input of user, from And the order of the starting follow-up generated then executes corresponding initial to user terminal transmission when server receives the order Follow-up problem step.Specifically, and pre-stored according to subscriber identity information when server receives the identity information of user All health accounts in include essential information matched, using the health account of successful match as presetting the identity information Corresponding health account, namely as the health account for waiting for follow-up patient with this, server, which is inquired in the health account, includes Default follow up time, namely inquiry follow-up time started, the monitoring system time, when system time reaches default follow up time When, then follow-up prompt information is exported, and the follow-up prompt information is sent to the user terminal, user terminal is shown in the display interface Show the follow-up prompt information, corresponding feedback information is inputted according to follow-up prompt information to follow-up patient, user terminal is according to this Feedback information generates follow-up enabled instruction and the follow-up enabled instruction is sent to server, and server receives follow-up starting When instruction, then the follow-up number of this follow-up is determined according to the follow up time recorded in health account, generated according to follow-up number Follow-up problem, wherein can be according to follow-up number generation follow-up problem and stress to inquire direction not according to the generation of the number of follow-up Same follow-up problem, can be, and when for first follow-up, then generate corresponding inquiry disease specific, and then inquire again corresponding The initial follow-up problem of symptom, thus guarantee the initial follow-up problem generated in first follow-up it is more accurate with it is careful, when for When subsequent follow-up, then the initial follow-up problem for inquiring specific symptom accordingly can be directly generated, then improves follow-up efficiency.
In the present embodiment, server can generate phase according to the default follow up time being pre-stored in health account is got The follow-up prompt information answered, to start follow-up according to follow-up enabled instruction, guarantee can carry out follow-up automatically, and can basis The follow-up number of inquiry generates corresponding follow-up problem, guarantees the accuracy of Follow-up results and improves follow-up efficiency.
The medical treatment to follow-up patient is calculated according to the first response message and the second response message in one of the embodiments, Score value, and after Follow-up results corresponding to output and medical treatment score value, comprising: it obtains to follow-up corresponding to follow-up patient Preset value；Compare medical treatment score value and follow-up preset value；When medical treatment score value is more than follow-up preset value, then follow-up patient is treated Addition shifts to an earlier date follow-up label, carries pre-set time on follow-up label in advance；According to follow-up label in advance by default follow up time It is changed to pre-set time.
Specifically, follow-up preset value refers to the preset evaluation evaluated and whether need to carry out follow-up in advance to follow-up patient Value.Follow-up label refers to that mark needs to carry out the mark of follow-up in advance to follow-up patient in advance, mentions when being added with to follow-up patient When preceding follow-up label, then it will be stored in and carried out with the follow up time in health account corresponding to the identity information to follow-up patient Change.Specifically, whether server can also obtain preset follow-up preset value, and then inquire and need in advance just to follow-up patient Doctor, for example, it may be then inquiring again when server calculates medical treatment score value not higher than medical treatment threshold value and whether being higher than follow-up Preset value, namely when medical treatment score value is higher than follow-up preset value, although then current without seeing a doctor, need to shorten follow-up Time, namely monitor whether to see a doctor in advance.It can also be when server calculates medical treatment score value higher than medical treatment threshold When value, then follow-up next time is the first time follow-up after this medical treatment, and according to default situation, the time of follow-up next time can It can need to shift to an earlier date, then inquire again and whether be higher than follow-up preset value, when being higher than follow-up preset value, follow up time will mention next time Before.
Specifically, when server gets medical treatment score value, the pre-stored follow-up preset value to follow-up patient is obtained, it will Medical treatment score value is compared with follow-up preset value, when medical treatment score value is higher than follow-up preset value, then under follow-up patient Follow-up need to carry out in advance namely health account in include default follow up time shifted to an earlier date, then will be to follow-up Patient's addition shifts to an earlier date follow-up label, and should shift to an earlier date can be added with pre-set time on follow-up label, and the pre-set time is default in advance Three days, four days, one week etc., and then server is inquired to follow-up patient added with follow-up label in advance, then is got to follow-up Health account corresponding to the identity information of patient, and then according to the pre-set time carried on follow-up label in advance, will it is default with The visit time is changed to pre-set time, to guarantee that subsequent follow-up can carry out in advance.
In the present embodiment, server can be compared according to the medical treatment score value being calculated with follow-up preset value, when When medical treatment score value is higher than follow-up preset value, then this is waited for that follow up time corresponding to follow-up patient shifts to an earlier date, guarantee can be with Follow-up patient is treated in time and carries out follow-up, improves applicability.
The association follow-up problem generated in one of the embodiments, according to the association symptom solid data, comprising: system Meter is according to quantity the problem of the association follow-up problem for being associated with the generation of symptom solid data；When problematic amount is more than preset value, then Choose selection template；Follow-up problem is associated with according to selection template generation；When problematic amount is less than preset value, then question and answer are chosen Template；Follow-up problem is associated with according to question and answer template generation.
Specifically, selection template refers to the template that related association follow-up problem is generated according to multiple-choice question purpose mode.Question and answer Template refers to the template that related association follow-up problem is generated according to question-and-answer problem purpose mode.Specifically, when server gets pass When joining symptom solid data, then it can inquire according to the quantity of association symptom solid data and generate asking for association follow-up problem Selection then can be generated in order to avoid needing to input excessive character then to follow-up patient when problematic amount is excessive in topic quantity Topic then can input relevant character to follow-up patient, so as to generate question and answer topic when problematic amount is few.Service Device is when getting association symptom solid data, then the quantity of statistical correlation symptom entity, and then the association obtained according to statistics The quantity of symptom solid data calculates the quantity for generating association follow-up problem, wherein according to the quantity of association symptom solid data The quantity for calculating generation association follow-up problem can use preset calculating logic, and calculating logic can be, an association symptom Solid data generates an association follow-up problem, is associated with the quantity of follow-up problem and the number that is associated with symptom solid data to generate It measures identical, is also possible to two association symptom solid datas and generates association follow-up problem etc..And then preset value is got, The association follow-up problematic amount of generation is compared with preset value, when being associated with follow-up problematic amount more than preset value, is then given birth to At association follow-up problematic amount it is more, and then choose selection template, thus according to selection template generation be associated with follow-up problem, such as The form of topic and option then avoids user from inputting excessive character, when association follow-up problematic amount is less than preset value, then Question and answer template can be directly chosen, to be associated with follow-up problem according to question and answer template generation, is inputted such as topic and to follow-up patient The form of the corresponding answer of related topic more accurately answers information to guarantee to acquire.
In the present embodiment, server can choose corresponding template according to quantity the problem of association follow-up problem, thus root It is associated with follow-up problem according to corresponding template generation, select permeability form is generated when related question quantity is less than preset value Association follow-up problem, then avoid user from inputting excessive character, generate question and answer when related question quantity is more than preset value The association follow-up problem of problem form, then user can directly carry out the accuracy that input guarantees follow-up problem, then enhancing is applicable in Property.
It should be understood that although each step in the flow chart of Fig. 2-3 is successively shown according to the instruction of arrow, These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-3 Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately It executes.
In one embodiment, as shown in figure 4, providing a kind of medical follow up device 400, comprising: acquisition module 410, First response message receiving module 420, extraction module 430, enquiry module 440, the second response message receiving module 450 and calculating Module 460, in which:
Module 410 is obtained, for obtaining the identity information to follow-up patient.
First response message receiving module 420, for generating initial follow-up problem according to identity information, and by initial follow-up Problem be sent to the corresponding user terminal of follow-up patient, receive that user terminal returns with corresponding to initial follow-up problem First response message.
Extraction module 430, for extracting the first symptom solid data from the first response message.
Enquiry module 440, for the inquiry from medical knowledge mapping and associated diseases corresponding to the first symptom solid data Shape solid data.
Second response message receiving module 450, for generating association follow-up problem according to association symptom solid data, and will Association follow-up problem is sent to and to the corresponding user terminal of follow-up patient, receives user terminal return and be associated with follow-up problem The second corresponding response message.
Computing module 460 is commented for being calculated according to the first response message with the second response message to the medical treatment of follow-up patient Score value, and export and Follow-up results corresponding to medical treatment score value.
Computing module 460 in one of the embodiments, may include:
Extraction unit, for extracting the second symptom solid data for including in the second response message.
First query unit, for inquiring corresponding first scoring of the first symptom solid data and the first scoring weight.
Second query unit, the second scoring corresponding to the second symptom solid data and the second scoring weight.
Medical treatment score value computing unit, for according to the first scoring, the first scoring weight, the second scoring and the second scoring Weight calculation medical treatment score value.
Output unit, for when medical treatment score value is more than medical treatment threshold value, then exporting medical treatment prompt information as follow-up knot Fruit.
Extraction module 430 in one of the embodiments, comprising:
Logic acquiring unit is segmented, for obtaining participle logic corresponding to the first response message.
Split cells is believed for the first response after being split the first response message according to participle logic Breath.
Matching unit, for the first response message and the data to be matched in the symptom data library that prestores after splitting into Row matching.
First symptom solid data obtaining unit is used for when successful match, then will be successful with Data Matching to be matched The first response message after fractionation is as the first symptom solid data.
Enquiry module in one of the embodiments, may include:
First disease data associative cell, for inquiring association from medical knowledge mapping according to the first symptom solid data The first disease data.
Second disease data query unit, for inquiring the second disease number for including in the identity information to follow-up patient According to.
Judging unit, for judging whether the first disease data is the corresponding complication of the second disease data.
It is associated with symptom solid data obtaining unit, for being the corresponding complication of the second disease data when the first disease data When, then symptom solid data associated by the first disease data in medical knowledge map is inquired, by associated symptom solid data As association symptom solid data.
First response message receiving module 420 in one of the embodiments, comprising:
Health account acquiring unit, for obtaining health account corresponding to the identity information according to identity information.
Default follow up time query unit, for inquiring the default follow up time for including in health account.
Follow-up prompt information output unit, for when system time reaches default follow up time, then exporting follow-up prompt Information.
Follow-up number query unit, follow-up enabled instruction corresponding with follow-up prompt information for receiving input, according to Follow-up number is inquired in follow-up enabled instruction.
Initial follow-up problem generation unit, for generating initial follow-up problem according to follow-up number.
Medical follow up device in one of the embodiments, may include:
Follow-up preset value obtains module, for obtaining to follow-up preset value corresponding to follow-up patient.
Comparison module, for comparing medical treatment score value and follow-up preset value.
Follow-up label adding module in advance, for when medical treatment score value is more than follow-up preset value, then treating follow-up patient Addition shifts to an earlier date follow-up label, carries pre-set time on follow-up label in advance.
Module is changed, for default follow up time to be changed to pre-set time according to follow-up label in advance.
Second response message receiving module in one of the embodiments, comprising:
Statistic unit, for counting according to quantity the problem of the association follow-up problem for being associated with the generation of symptom solid data.
Template selection unit is selected, for when problematic amount is more than preset value, then choosing selection template.
It is associated with follow-up problem generation unit, for being associated with follow-up problem according to selection template generation.
Question and answer template selection unit, for when problematic amount is less than preset value, then choosing question and answer template.
It is associated with follow-up problem generation unit, for being associated with follow-up problem according to question and answer template generation.
Specific about medical follow up device limits the restriction that may refer to above for medical follow up method, herein not It repeats again.Modules in above-mentioned medical follow up device can be realized fully or partially through software, hardware and combinations thereof.On Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction Composition can be as shown in Figure 5.The computer equipment include by system bus connect processor, memory, network interface and Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating The database of machine equipment is for storing medical follow up data.The network interface of the computer equipment is used to pass through with external terminal Network connection communication.To realize a kind of medical follow up method when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with Computer program, the processor perform the steps of the identity information obtained to follow-up patient when executing computer program；According to Identity information generates initial follow-up problem, and initial follow-up problem is sent to the corresponding user terminal of follow-up patient, connects Receive user terminal return with the first response message corresponding to initial follow-up problem；The first disease is extracted from the first response message Shape solid data；Inquiry is associated with symptom solid data with corresponding to the first symptom solid data from medical knowledge mapping；Root Generate association follow-up problem according to association symptom solid data, and will association follow-up problem be sent to the corresponding use of follow-up patient Family terminal, receive user terminal return be associated with the second response message corresponding to follow-up problem；According to the first response message The medical treatment score value to follow-up patient is calculated with the second response message, and is exported and Follow-up results corresponding to medical treatment score value.
It realizes when processor executes computer program in one of the embodiments, and is answered according to the first response message with second Medical treatment score value of the information calculating to follow-up patient is answered, and is exported and Follow-up results corresponding to medical treatment score value, comprising: is extracted The the second symptom solid data for including in second response message；Inquire corresponding first scoring of the first symptom solid data and the One scoring weight；Inquire the second scoring corresponding to the second symptom solid data and the second scoring weight；Score according to first, First scoring weight, the second scoring and the second scoring weight calculation medical treatment score value；When medical treatment score value is more than medical treatment threshold value When, then medical treatment prompt information is exported as Follow-up results.
First extracted in the first response message is realized when processor executes computer program in one of the embodiments, Symptom solid data, comprising: obtain participle logic corresponding to the first response message；According to participle logic by the first response message The first response message after being split；It will be in the first response message after fractionation and the symptom data library prestored Data to be matched are matched；The first response letter when successful match, then after successfully being split with Data Matching to be matched Breath is used as the first symptom solid data.
The inquiry and the from medical knowledge mapping is realized when processor executes computer program in one of the embodiments, Association symptom solid data corresponding to one symptom solid data, comprising: according to the first symptom solid data from medical knowledge graph Associated first disease data is inquired in spectrum；Inquire the second disease data for including in the identity information to follow-up patient；Judgement Whether the first disease data is the corresponding complication of the second disease data；When the first disease data is that the second disease data is corresponding When complication, then symptom solid data associated by the first disease data in medical knowledge map is inquired, associated symptom is real Volume data is as association symptom solid data.
It is realized when processor executes computer program in one of the embodiments, and initial follow-up is generated according to identity information Problem, comprising: according to identity information, obtain health account corresponding to the identity information；Include in inquiry health account is default Follow up time；When system time reaches default follow up time, then follow-up prompt information is exported；Receive prompting with follow-up for input The corresponding follow-up enabled instruction of information inquires follow-up number according to follow-up enabled instruction；Initial follow-up is generated according to follow-up number Problem.
It realizes when processor executes computer program in one of the embodiments, and is answered according to the first response message with second Medical treatment score value of the information calculating to follow-up patient is answered, and after Follow-up results corresponding to output and medical treatment score value, comprising: It obtains to follow-up preset value corresponding to follow-up patient；Compare medical treatment score value and follow-up preset value；When medical treatment score value is more than When follow-up preset value, then treats follow-up patient addition and shift to an earlier date follow-up label, carry pre-set time on follow-up label in advance；According to Default follow up time is changed to pre-set time by follow-up label in advance.
It realizes when processor executes computer program in one of the embodiments, and is generated according to association symptom solid data Association follow-up problem, comprising: statistics according to association symptom solid data generate association follow-up problem the problem of quantity；When asking When inscribing quantity more than preset value, then selection template is chosen；Follow-up problem is associated with according to selection template generation；When problematic amount does not surpass When crossing preset value, then question and answer template is chosen；Follow-up problem is associated with according to question and answer template generation.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated Machine program performs the steps of the identity information obtained to follow-up patient when being executed by processor；It is generated just according to identity information Beginning follow-up problem, and initial follow-up problem is sent to the corresponding user terminal of follow-up patient, it receives user terminal and returns With the first response message corresponding to initial follow-up problem；The first symptom solid data is extracted from the first response message；From Inquiry is associated with symptom solid data with corresponding to the first symptom solid data in medical knowledge map；According to association symptom entity Data generate association follow-up problem, and association follow-up problem is sent to the corresponding user terminal of follow-up patient, receive use Family terminal return be associated with the second response message corresponding to follow-up problem；According to the first response message and the second response message The medical treatment score value to follow-up patient is calculated, and is exported and Follow-up results corresponding to medical treatment score value.
It realizes when computer program is executed by processor in one of the embodiments, according to the first response message and second Response message calculates the medical treatment score value to follow-up patient, and exports and Follow-up results corresponding to medical treatment score value, comprising: mentions Take the second symptom solid data for including in the second response message；Inquire the first symptom solid data it is corresponding first scoring and First scoring weight；Inquire the second scoring corresponding to the second symptom solid data and the second scoring weight；It is commented according to first Point, first scoring weight, second scoring and second scoring weight calculation medical treatment score value；When medical treatment score value is more than medical treatment threshold When value, then medical treatment prompt information is exported as Follow-up results.
Computer program realizes the extracted in the first response message when being executed by processor in one of the embodiments, One symptom solid data, comprising: obtain participle logic corresponding to the first response message；The first response is believed according to participle logic Cease the first response message after being split；It will be in the first response message after fractionation and the symptom data library prestored Data to be matched matched；When successful match, then by the first response after successfully being split with Data Matching to be matched Information is as the first symptom solid data.
In one of the embodiments, computer program realize when being executed by processor from medical knowledge mapping inquiry with Association symptom solid data corresponding to first symptom solid data, comprising: according to the first symptom solid data from medical knowledge Associated first disease data is inquired in map；Inquire the second disease data for including in the identity information to follow-up patient；Sentence Whether disconnected first disease data is the corresponding complication of the second disease data；When the first disease data is corresponding for the second disease data Complication when, then symptom solid data associated by the first disease data in medical knowledge map is inquired, by associated symptom Solid data is as association symptom solid data.
In one of the embodiments, computer program realize when being executed by processor according to identity information generate initially with Access topic, comprising: according to identity information, obtain health account corresponding to the identity information；Include in inquiry health account is pre- If follow up time；When system time reaches default follow up time, then follow-up prompt information is exported；Receive mentioning with follow-up for input Show the corresponding follow-up enabled instruction of information, follow-up number is inquired according to follow-up enabled instruction；According to follow-up number generate initially with Access topic.
It realizes when computer program is executed by processor in one of the embodiments, according to the first response message and second Response message calculates the medical treatment score value to follow-up patient, and exports with after Follow-up results corresponding to medical treatment score value, wraps It includes: obtaining to follow-up preset value corresponding to follow-up patient；Compare medical treatment score value and follow-up preset value；When medical treatment score value is super When crossing follow-up preset value, then treats follow-up patient addition and shift to an earlier date follow-up label, carry pre-set time on follow-up label in advance；Root Default follow up time is changed to pre-set time according to follow-up label in advance.
It is realized when computer program is executed by processor in one of the embodiments, raw according to association symptom solid data At association follow-up problem, comprising: statistics according to association symptom solid data generate association follow-up problem the problem of quantity；When When problematic amount is more than preset value, then selection template is chosen；Follow-up problem is associated with according to selection template generation；When problematic amount not When more than preset value, then question and answer template is chosen；Follow-up problem is associated with according to question and answer template generation.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.

Claims (10)

1. a kind of medical follow up method, which comprises
Obtain the identity information to follow-up patient；
Initial follow-up problem is generated according to the identity information, and the initial follow-up problem is sent to and is suffered from described to follow-up The corresponding user terminal of person receives believing with the first response corresponding to the initial follow-up problem for the user terminal return Breath；
The first symptom solid data is extracted from first response message；
Inquiry is associated with symptom solid data with corresponding to the first symptom solid data from medical knowledge mapping；
According to the association symptom solid data generate association follow-up problem, and by the association follow-up problem be sent to it is described To the corresponding user terminal of follow-up patient, receive that the user terminal returns with second corresponding to the association follow-up problem Response message；
The medical treatment score value to follow-up patient is calculated according to first response message and second response message, and defeated Out with Follow-up results corresponding to the medical treatment score value.
2. the method according to claim 1, wherein described answer according to first response message with described second It answers information and calculates the medical treatment score value to follow-up patient, and output and Follow-up results corresponding to the medical treatment score value, Include:
Extract the second symptom solid data for including in second response message；
Inquire corresponding first scoring of the first symptom solid data and the first scoring weight；
Inquire the second scoring corresponding to the second symptom solid data and the second scoring weight；
Just according to first scoring, the first scoring weight, second scoring and the second scoring weight calculation Cure score value；
When the medical treatment score value is more than medical treatment threshold value, then medical treatment prompt information is exported as Follow-up results.
3. the method according to claim 1, wherein first symptom extracted in first response message Solid data, comprising:
Obtain participle logic corresponding to first response message；
The first response message after being split first response message according to the participle logic；
The first response message after fractionation is matched with the data to be matched in the symptom data library prestored；
When successful match, then using with the first response message after the Data Matching to be matched successfully fractionation as One symptom solid data.
4. the method according to claim 1, wherein the inquiry from medical knowledge mapping and first disease Association symptom solid data corresponding to shape solid data, comprising:
Associated first disease data is inquired from medical knowledge mapping according to the first symptom solid data；
Inquiry second disease data to include in the identity information of follow-up patient；
Judge whether first disease data is the corresponding complication of second disease data；
When first disease data complication corresponding for second disease data, then the medical knowledge map is inquired In symptom solid data associated by the first disease data, using the associated symptom solid data as association symptom entity number According to.
5. the method according to claim 1, wherein described generate according to the identity information initially with access Topic, comprising:
According to the identity information, health account corresponding with the identity information is obtained；
Inquire the default follow up time for including in the health account；
When system time reaches the default follow up time, then follow-up prompt information is exported；
Receive input follow-up enabled instruction corresponding with the follow-up prompt information, according to the follow-up enabled instruction inquiry with Visit number；
Initial follow-up problem is generated according to the follow-up number.
6. according to the method described in claim 5, it is characterized in that, described answer according to first response message with described second Answer information and calculate the medical treatment score value to follow-up patient, and export with Follow-up results corresponding to the medical treatment score value it Afterwards, comprising:
It obtains described to follow-up preset value corresponding to follow-up patient；
Compare the medical treatment score value and the follow-up preset value；
When the medical treatment score value is more than the follow-up preset value, then shift to an earlier date follow-up label to follow-up patient addition to described, Pre-set time is carried on the follow-up label in advance；
The default follow up time is changed to the pre-set time according to the follow-up label in advance.
7. the method according to claim 1, wherein the pass generated according to the association symptom solid data Join follow-up problem, comprising:
Statistics is according to quantity the problem of the association follow-up problem for being associated with the generation of symptom solid data；
When described problem quantity is more than preset value, then selection template is chosen；
Follow-up problem is associated with according to the selection template generation；
When described problem quantity is less than preset value, then question and answer template is chosen；
Follow-up problem is associated with according to the question and answer template generation.
8. a kind of medical follow up device, which is characterized in that described device includes:
Module is obtained, for obtaining the identity information to follow-up patient；
First response message receiving module, for generating initial follow-up problem according to the identity information, and by it is described initially with Access topic is sent to described to the corresponding user terminal of follow-up patient, receive that the user terminal returns with it is described initially with The first corresponding response message of access topic；
Extraction module, for extracting the first symptom solid data from first response message；
Enquiry module is associated with symptom reality with corresponding to the first symptom solid data for inquiring from medical knowledge mapping Volume data；
Second response message receiving module is associated with follow-up problem for generating according to the association symptom solid data, and by institute Association follow-up problem is stated to be sent to described to the corresponding user terminal of follow-up patient, receive that the user terminal returns with institute State the second response message corresponding to association follow-up problem；
Computing module, for according to first response message and second response message calculate it is described to follow-up patient just Score value is cured, and is exported and Follow-up results corresponding to the medical treatment score value.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
CN201811051859.XA 2018-09-10 2018-09-10 Medical follow up method, apparatus, computer equipment and storage medium Withdrawn CN109065139A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811051859.XA CN109065139A (en) 2018-09-10 2018-09-10 Medical follow up method, apparatus, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811051859.XA CN109065139A (en) 2018-09-10 2018-09-10 Medical follow up method, apparatus, computer equipment and storage medium

Publications (1)

Publication Number Publication Date
CN109065139A true CN109065139A (en) 2018-12-21

Family

ID=64761198

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811051859.XA Withdrawn CN109065139A (en) 2018-09-10 2018-09-10 Medical follow up method, apparatus, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN109065139A (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110188170A (en) * 2019-05-28 2019-08-30 广西师范大学 A kind of multiple entry medicine question sentence plate device and its method
CN110211704A (en) * 2019-05-05 2019-09-06 平安科技（深圳）有限公司 The engine method and server of matter of opening
CN110232686A (en) * 2019-06-19 2019-09-13 东软医疗系统股份有限公司 Acquisition methods, device, CT equipment and the storage medium of Lung neoplasm follow-up image
CN110265153A (en) * 2019-05-16 2019-09-20 平安科技（深圳）有限公司 Chronic disease follow-up method and electronic device
CN111081367A (en) * 2019-11-13 2020-04-28 深圳市联影医疗数据服务有限公司 Medical follow-up method and system
CN111210883A (en) * 2019-12-24 2020-05-29 深圳市联影医疗数据服务有限公司 Method, system, device and storage medium for generating follow-up data of brain tumor patient
CN111292060A (en) * 2020-02-03 2020-06-16 支付宝(杭州)信息技术有限公司 Information processing method and device
CN111383745A (en) * 2018-12-29 2020-07-07 医渡云（北京）技术有限公司 Computer data processing method, device, storage medium and equipment
CN111613283A (en) * 2020-05-11 2020-09-01 北京深睿博联科技有限责任公司 Follow-up interactive method and system for patients with hepatobiliary pancreatic tumor
CN111833997A (en) * 2020-07-16 2020-10-27 平安科技（深圳）有限公司 Doctor allocation method and device based on risk prediction and computer equipment
CN112183051A (en) * 2020-09-02 2021-01-05 北京源和汇升科技中心(有限合伙) Intelligent voice follow-up method, system, computer equipment, storage medium and program product
CN112951448A (en) * 2019-12-10 2021-06-11 中移(成都)信息通信科技有限公司 Method, device, equipment and medium for return visit
CN113470824A (en) * 2021-07-08 2021-10-01 中国人民解放军海军特色医学中心 Diagnostic scoring system and method for rapid floating escape decompression sickness
CN113724810A (en) * 2021-08-31 2021-11-30 平安国际智慧城市科技股份有限公司 Data processing method, device, equipment and readable storage medium
CN113761899A (en) * 2021-09-07 2021-12-07 卫宁健康科技集团股份有限公司 Medical text generation method, device, equipment and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050192848A1 (en) * 2004-02-26 2005-09-01 Vocantas Inc. Method and apparatus for automated post-discharge follow-up of medical patients
CN107256343A (en) * 2017-06-16 2017-10-17 康美健康云服务有限公司 A kind of tumor patient follow-up feedback method for pushing and system
CN107315906A (en) * 2017-06-01 2017-11-03 北京瑞启医药信息科技有限公司 The method and system of the automatic follow-up of chronic are realized based on chat robots
CN107610770A (en) * 2016-07-11 2018-01-19 百度（美国）有限责任公司 System and method are generated for the problem of automated diagnostic
CN107610774A (en) * 2017-10-25 2018-01-19 医渡云（北京）技术有限公司 Intelligent way of inquisition and device, storage medium, electronic equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050192848A1 (en) * 2004-02-26 2005-09-01 Vocantas Inc. Method and apparatus for automated post-discharge follow-up of medical patients
CN107610770A (en) * 2016-07-11 2018-01-19 百度（美国）有限责任公司 System and method are generated for the problem of automated diagnostic
CN107315906A (en) * 2017-06-01 2017-11-03 北京瑞启医药信息科技有限公司 The method and system of the automatic follow-up of chronic are realized based on chat robots
CN107256343A (en) * 2017-06-16 2017-10-17 康美健康云服务有限公司 A kind of tumor patient follow-up feedback method for pushing and system
CN107610774A (en) * 2017-10-25 2018-01-19 医渡云（北京）技术有限公司 Intelligent way of inquisition and device, storage medium, electronic equipment

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111383745A (en) * 2018-12-29 2020-07-07 医渡云（北京）技术有限公司 Computer data processing method, device, storage medium and equipment
CN110211704A (en) * 2019-05-05 2019-09-06 平安科技（深圳）有限公司 The engine method and server of matter of opening
CN110265153A (en) * 2019-05-16 2019-09-20 平安科技（深圳）有限公司 Chronic disease follow-up method and electronic device
CN110188170B (en) * 2019-05-28 2023-05-09 丁跃辉 Multi-entry medical question template device and method thereof
CN110188170A (en) * 2019-05-28 2019-08-30 广西师范大学 A kind of multiple entry medicine question sentence plate device and its method
CN110232686A (en) * 2019-06-19 2019-09-13 东软医疗系统股份有限公司 Acquisition methods, device, CT equipment and the storage medium of Lung neoplasm follow-up image
CN111081367A (en) * 2019-11-13 2020-04-28 深圳市联影医疗数据服务有限公司 Medical follow-up method and system
CN112951448B (en) * 2019-12-10 2024-02-06 中移(成都)信息通信科技有限公司 Method, device, equipment and medium for revisiting
CN112951448A (en) * 2019-12-10 2021-06-11 中移(成都)信息通信科技有限公司 Method, device, equipment and medium for return visit
CN111210883A (en) * 2019-12-24 2020-05-29 深圳市联影医疗数据服务有限公司 Method, system, device and storage medium for generating follow-up data of brain tumor patient
CN111210883B (en) * 2019-12-24 2024-03-22 深圳市联影医疗数据服务有限公司 Method, system, device and storage medium for generating follow-up data of brain tumor patient
CN111292060A (en) * 2020-02-03 2020-06-16 支付宝(杭州)信息技术有限公司 Information processing method and device
CN111613283A (en) * 2020-05-11 2020-09-01 北京深睿博联科技有限责任公司 Follow-up interactive method and system for patients with hepatobiliary pancreatic tumor
CN111833997A (en) * 2020-07-16 2020-10-27 平安科技（深圳）有限公司 Doctor allocation method and device based on risk prediction and computer equipment
CN112183051A (en) * 2020-09-02 2021-01-05 北京源和汇升科技中心(有限合伙) Intelligent voice follow-up method, system, computer equipment, storage medium and program product
CN113470824A (en) * 2021-07-08 2021-10-01 中国人民解放军海军特色医学中心 Diagnostic scoring system and method for rapid floating escape decompression sickness
CN113724810A (en) * 2021-08-31 2021-11-30 平安国际智慧城市科技股份有限公司 Data processing method, device, equipment and readable storage medium
CN113761899A (en) * 2021-09-07 2021-12-07 卫宁健康科技集团股份有限公司 Medical text generation method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
CN109065139A (en) Medical follow up method, apparatus, computer equipment and storage medium
WO2021068321A1 (en) Information pushing method and apparatus based on human-computer interaction, and computer device
CN110504028A (en) A kind of disease way of inquisition, device, system, computer equipment and storage medium
CN109635122A (en) Intelligent disease inquiry method, apparatus, equipment and storage medium
CN109446302A (en) Question and answer data processing method, device and computer equipment based on machine learning
CN108509477B (en) Method for recognizing semantics, electronic device and computer readable storage medium
CN112036154B (en) Electronic medical record generation method and device based on inquiry dialogue and computer equipment
CN108986908A (en) Interrogation data processing method, device, computer equipment and storage medium
CN108876588A (en) A kind of loan measures and procedures for the examination and approval, device, server and storage medium
CN110442697B (en) Man-machine interaction method, system, computer equipment and storage medium
CN111710383A (en) Medical record quality control method and device, computer equipment and storage medium
CN109192258B (en) Medical data conversion method, medical data conversion device, computer equipment and storage medium
WO2021068490A1 (en) Reply message generation method and apparatus, computer device and storage medium
CN112287068B (en) Artificial intelligence-based inquiry dialogue data processing method and device
CN108509476A (en) Problem associates method for pushing, electronic device and computer readable storage medium
CN111309881A (en) Method and device for processing unknown questions in intelligent question answering, computer equipment and medium
CN108922634A (en) The problem of based on online interrogation, replies processing method, device and computer equipment
TWI674517B (en) Information interaction method and device
US20200258600A1 (en) Methods and systems for recommeding filters to apply to clinical trial search results using machine learning techniques
CN109543442A (en) Data safety processing method, device, computer equipment and storage medium
CN112397197A (en) Artificial intelligence-based inquiry data processing method and device
CN113409907A (en) Intelligent pre-inquiry method and system based on Internet hospital
CN112201359A (en) Artificial intelligence-based critical illness inquiry data identification method and device
CN112035619A (en) Medical questionnaire screening method, device, equipment and medium based on artificial intelligence
CN112035614A (en) Test set generation method and device, computer equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20181221

WW01 Invention patent application withdrawn after publication