CN110246593A - A kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage medium - Google Patents

A kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage medium Download PDF

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Publication number
CN110246593A
CN110246593A CN201810190178.5A CN201810190178A CN110246593A CN 110246593 A CN110246593 A CN 110246593A CN 201810190178 A CN201810190178 A CN 201810190178A CN 110246593 A CN110246593 A CN 110246593A
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China
Prior art keywords
follow
target
answer
visit
telephone
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CN201810190178.5A
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Chinese (zh)
Inventor
李智文
胡晓楠
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Priority to CN201810190178.5A priority Critical patent/CN110246593A/en
Publication of CN110246593A publication Critical patent/CN110246593A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

The embodiment of the invention discloses a kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage mediums to reduce artificial participation, improve the efficiency of Effect of follow-up visit by telephone for realizing automatic telephone follow-up.The method comprise the steps that obtaining the relevant information of follow-up object;It obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table;Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;Art tree is talked about according to the target, and Effect of follow-up visit by telephone is carried out to the follow-up object;Obtain the result of the Effect of follow-up visit by telephone.

Description

A kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage medium
Technical field
The present invention relates to the communications field more particularly to a kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage mediums.
Background technique
With the raising of medical level, the development of hospital information system, the improvement of medical services becomes the follow-up of patient It is more and more important.
Currently, hospital generally uses traditional Effect of follow-up visit by telephone, need manually to make a phone call connection patient, staff is first The patient for needing follow-up is got from hospital's database of case history, inquires the medical record information of patient then to understand using suitable The case where talking about art table and carry out follow-up, then dialing patient's phone and seek advice from patient according to words art table, the content record of chat is existed In follow-up table.Traditional Telephone in Hospital follow-up system needs hospital staff to participate in ditch for the purpose of collecting conditions of patients Logical and record, it is very necessary for patients.
However the artificial one day phone limited amount dialed, and inefficiency, the originally nervous hospital of medical resource is also It needs to spend this kind of duplicate Effect of follow-up visit by telephone work of a large amount of human input, causes the waste of resource, inefficiency.
Summary of the invention
The embodiment of the invention provides a kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage medium, for realizing Automatic telephone follow-up reduces artificial participation, improves the efficiency of Effect of follow-up visit by telephone.
First aspect present invention provides a kind of Effect of follow-up visit by telephone method, comprising:
Obtain the relevant information of follow-up object;
It obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table;
Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;
Art tree is talked about according to the target, and Effect of follow-up visit by telephone is carried out to the follow-up object;
Obtain the result of the Effect of follow-up visit by telephone.
Second aspect of the present invention provides a kind of Effect of follow-up visit by telephone device, comprising:
First acquisition unit, for obtaining the relevant information of follow-up object;
Second acquisition unit, for obtaining target follow-up words art table corresponding with the relevant information of follow-up object;
Converting unit, for target follow-up words art table to be converted to target words art tree, the target words art tree includes Multiple nodes;
Follow-up unit carries out Effect of follow-up visit by telephone to the follow-up object for talking about art tree according to the target;
Third acquiring unit, for obtaining the result of the Effect of follow-up visit by telephone.
Third aspect present invention provides a kind of Effect of follow-up visit by telephone device, comprising:
Memory, transceiver, processor and bus system;
Wherein, the memory is for storing program;
The processor is used to execute the program in the memory, includes the following steps:
Obtain the relevant information of follow-up object;
It obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table;
Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;
Art tree is talked about according to the target, and Effect of follow-up visit by telephone is carried out to the follow-up object;
Obtain the result of the Effect of follow-up visit by telephone;
The bus system is for connecting the memory and the processor, so that the memory and the place Reason device is communicated.
Fourth aspect present invention provides a kind of computer storage medium comprising instruction, when it runs on computers When, so that computer executes operation described in above-mentioned various aspects.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that
In the embodiment of the present invention, a kind of Effect of follow-up visit by telephone method is provided, comprising: obtain the relevant information of follow-up object;It obtains Take target follow-up words art table corresponding with the relevant information of follow-up object;Target follow-up words art table is converted into target Art tree is talked about, the target words art tree includes multiple nodes;According to the target talk about art tree to the follow-up object progress phone with It visits;Obtain the result of the Effect of follow-up visit by telephone.In the embodiment of the present invention, words art tree is converted to by the way that art table will be talked about, and utilize nature Language processing module realizes automatic telephone follow-up, reduces artificial participation, improves the efficiency of Effect of follow-up visit by telephone.
Detailed description of the invention
Fig. 1 is the network frame schematic diagram of application of the embodiment of the present invention;
Fig. 2 is a flow diagram of Effect of follow-up visit by telephone method in the embodiment of the present invention;
Fig. 3 is that art indicates to be intended under an application scenarios in the embodiment of the present invention;
Fig. 4 is the configuration schematic diagram of art tree under an application scenarios in the embodiment of the present invention;
Fig. 5 is one embodiment schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Fig. 6 is another embodiment schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Fig. 7 is another embodiment schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Fig. 8 is another embodiment schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Fig. 9 is an application scenarios schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Figure 10 is another application scenarios schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Figure 11 is another application scenarios schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention;
Figure 12 is another application scenarios schematic diagram of Effect of follow-up visit by telephone device in the embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides a kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage medium, for realizing Automatic telephone follow-up reduces artificial participation, improves the efficiency of Effect of follow-up visit by telephone.
Description and claims of this specification and term " first ", " second ", " third ", " in above-mentioned attached drawing The (if present)s such as four " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should manage The data that solution uses in this way are interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to Here the sequence other than those of diagram or description is implemented.In addition, term " includes " and " having " and their any deformation, Be intended to cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, system, product or setting It is standby those of to be not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or for these mistakes The intrinsic other step or units of journey, method, product or equipment.
It is understood that the embodiment of the present invention is mainly used in the networking telephone (voice over internet Protocol, VoIP) field, it can be applied to data between voip network and public phone network and transmit, for example, Telephone in Hospital Follow-up etc., wherein public phone network includes Public Switched Telephone Network (public switched telephone Network, PSTN) network and ISDN (integrated ser vices digital network, ISDN). By the processing to voip phone real-time voice stream and unified with nature language processing module, realize in voip phone speech network Actual conversation between traditional public switched telephone network, so that entire Effect of follow-up visit by telephone process is participated in without artificial.Wherein, public Switched telephone network is a kind of common old telephone system altogether.I.e. common telephone network in our daily lifes, voip network are Based on agreement (internet protocol, the IP) packet switching network interconnected between network, by traditional analog voice Signal is digitized, is compressed, is packaged, and a series of processing such as encapsulation framing carry out voice service by IP network Carrying.Ip voice gateway provides the interface between IP network and public telephone network, and user is connected to ip voice gateway by PSTN, by Ip voice gateway is responsible for converting analog signals into digital signal and compresses packing, and make to transmit on ip networks Then packet voice information is transmitted to callee side ip voice gateway through IP network again, will be grouped by the ip voice gateway of called end VoP is reduced to identifiable analog voice signal, and sends called phone terminal to by PSTN, thus completes Communication process of one complete phone to phone.For the ease of introduce, below using sufferer as callee side for be situated between It continues.
For purposes of illustration only, the detailed process of the embodiment of the present invention is described below, referring to Fig. 2, the application is implemented One embodiment of Effect of follow-up visit by telephone method includes: in example
201, the relevant information of follow-up object is obtained.
Obtain the relevant information of follow-up object, wherein follow-up object is the sufferer for needing to carry out Effect of follow-up visit by telephone, and data The relevant information of follow-up object is stored in library.Relevant information includes the contact method of follow-up object, and contact method may include The home address of the telephone number of follow-up object, follow-up object, the job site etc. of follow-up object.Relevant information further includes follow-up The case archives of object, case archives may include the age of follow-up object, gender, diagnosis and therapy recording, illness classification, illness duration Deng, wherein diagnosis and therapy recording may include register information, case record information, medical information and doctor's advice information etc..
202, it obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table.
According to the relevant informations such as the case archives of follow-up object and contact method obtain target follow-up talk about art table, the target with It visits words art table and is suitable for the follow-up object, it is corresponding with the relevant information of follow-up object.
For example, if determining follow-up object with diabetes, from database according to the relevant information of follow-up object It transfers the related symptoms of diabetes and art table is talked about according to the follow-up that the contact method of follow-up object configures diabetes.In a kind of possibility Application scenarios in, diabetes talk about art table can be as shown in Figure 3, wherein Q expression the problem of presetting or sentence, A indicate pre- The answer being first arranged.
It is illustrated so that art table is talked about in the follow-up configured according to the case archives for auntie Wang for suffering from diabetes as an example, such as schemes below It shown in 3, firstly, proposing first problem, asks whether to be auntie Wang, sentence is that " you are good, is to rise the sugared doctor of love to close here Love center, I is medical assistant Xiao Liu, and may I ask is auntie Wang ", for first problem setting there are two types of answer situation, first It kind is " do not recognize and misplay ", second is " be me/son/daughter/my old man/household ", if the first answer, is then replied Sentence " good, shyly to bother you, goodbye ", and export and record " number error ", it answers, then proposes if second Second Problem, revert statement " it is good, a simple health follow-up is all done to you here, it is to be understood that your present situation is descended, It helps you to do a record, provides more targetedly treatment service in order to the blood glucose situation for judging you better further below and for you, ask Ask that you are now convenient ".For Second Problem setting there are two types of situation is answered, the first is " busy/meeting/inconvenience ", the Two kinds are " convenience ", answer " busy/meeting/inconvenience " if the first, then propose third problem, " that may I ask revert statement When convenient you are ", get the answer sentence " after tomorrow/1 hour/at 5 points in afternoon " of third problem, revert statement " good, to wire back again to you at that time, phone please be kept unobstructed, goodbye " simultaneously records return visit time next time.If obtaining is second time " convenience " is answered, then proposes the 4th problem, revert statement " good, to thanks, may I ask you is I type or type-2 diabetes mellitus " obtains To the answer " I type/II type/pregnancy pattern " of the 4th problem, continue to propose the 5th problem, replying sentence is that " you suffer from glycosuria Several years of disease " obtains the answer " 5 years/do not remember clearly " of the 5th problem, proposes the 6th problem, and revert statement " may I ask your height It is how many centimetres and how many kilograms respectively with weight ", the answer " 172 centimetres, 72 kilograms " of the 6th problem is obtained, proposes the Seven problems, " doctor has found that your nearest blood glucose is continuously higher to revert statement, and continuing high blood glucose can generate uncomfortable or cause The risk of complication, may I ask you recently has flu, fever or the symptom of insomnia ".For there are two types of the 7th problem settings Situation is answered, the first is " a little catching a cold recently ", and second is " not having ", " a little catching a cold recently " is answered if the first, Then " flu can cause high blood glucose to revert statement, it is proposed that treatment flu in time, it is proposed that reinforce blood sugar monitoring during flu, prevent Blood glucose persistent anomaly causes other uncomfortable ", propose Eight problems, " it is next that may I ask your whether useful drug to revert statement Blood glucose is controlled, is that oral drugs or insulin or oral drugs add insulin to be used together ", " do not have if second of answer Have ", then directly propose Eight problems.For Eight problems setting there are two types of answer situation, the first for " oral drugs/ Insulin/oral drugs+insulin ", second is " not having medication ", answers " oral drugs/insulin/mouth if the first Medication object+insulin " then proposes the 9th problem, which medicine revert statement " is using, how to take in the morning, afternoon and evening ", Obtain the 9th problem answer " melbine, morning two panels, evening two panels ", replying END, " good, my this side is returned Visit almost finishes, and thanks your cooperation and support, please sees a doctor in time if you the discomfort on any body occur, in order to avoid indulge in The accidentally state of an illness, wishes that you become better and better at glycemic control, goodbye ", if the answer of Eight problems is " not having medication ", directly reply knot " good, I almost finishes beam sentence in the return visit of this side, thanks your cooperation and support, if you occur on any body Discomfort please see a doctor in time, in order to avoid delaying the state of an illness, wish that you become better and better at glycemic control, goodbye " complete Effect of follow-up visit by telephone.
203, target follow-up words art table is converted into target words art tree, it includes multiple nodes that target, which talks about art tree,.
Target follow-up words art table is converted into target words art tree, it includes multiple nodes that target, which talks about art tree,.
Follow-up words art table is converted into the art tree construction with multiple nodes, wherein it is more to talk about the generation of art table according to follow-up A answer pair, the corresponding one or more answers pair of each child node, as shown in Figure 4.
Below to be illustrated for carrying out the scene of Effect of follow-up visit by telephone to a diabetic, firstly, may in follow-up Doctor's advice can be had, the interrogative in question sentence can be extracted, be question sentence with interrogative, be to answer sentence or doctor without interrogative It advises, to distinguish doctor's advice and problem.For example, in Fig. 3 " doctor has found that your nearest blood glucose is continuously higher, continue high blood glucose meeting Risk that is uncomfortable or causing complication is generated, may I ask you recently has flu, fever or the symptom of insomnia ", first half sentence " doctor has found that your nearest blood glucose is continuously higher, and risk that is uncomfortable or causing complication can be generated by continuing high blood glucose " belongs to Doctor's advice, later half sentence " may I ask you recently has flu, fever or the symptom of insomnia " belong to question sentence.
Secondly, being segmented to question sentence, part-of-speech tagging, naming Entity recognition, interdependent syntactic analysis, word sense disambiguation etc. Reason, extracts the question sentence theme in question sentence, and classify to question sentence according to question sentence theme, obtains Question Classification result.It can be with Understand, name entity, noun, verb, interrogative etc. all can serve as the parameter of subject classification.For example, " being asked for question sentence Asking you recently has flu, fever or the symptom of insomnia ", wherein " have " including interrogative, including name entity " flu, hair Burn, insomnia ", which is divided into the question sentence of inquiry state by comprehensive analysis, i.e. question sentence theme is inquiry state;In another example right In question sentence " may I ask your height and weight is how many centimetres and how many kilograms respectively ", wherein including interrogative " how many ", including It names entity " height, weight ", which is divided into the question sentence of inquiry quantity by comprehensive analysis, i.e. question sentence theme is inquiry number Amount;For question sentence " may I ask is me ", wherein including interrogative "Yes", including name entity " in person ", comprehensive analysis should Question sentence is divided into inquisitorial question sentence, i.e. question sentence theme is inquiry people;For question sentence " may I ask is treat in hospital ", In, including interrogative "Yes", including entity " hospital " is named, which is divided into the question sentence in inquiry place by comprehensive analysis, i.e., Question sentence theme is inquiry place;For question sentence " when the last time measurement blood glucose is ", wherein including interrogative " what When ", including name entity " measurement blood glucose ", which is divided into the question sentence of query time, i.e. question sentence theme by comprehensive analysis For query time;For question sentence " may I ask you is I type or type-2 diabetes mellitus ", wherein including interrogative " be ... or ... ", packet Name entity " I type, II type " is included, which is divided into the question sentence of multiselect by comprehensive analysis, i.e. question sentence theme is multiselect.Specifically such as Shown in table 1.
Table 1
Then, it answers sentence to be segmented, homonym replacement, part-of-speech tagging, name Entity recognition, extracts and answer answering in sentence Sentence theme, and classify according to a theme answer sentence is answered, it obtains answering a classification results.It is understood that name entity, name Word, verb etc. all can serve as to answer the parameter of sentence classification.For the answer with multiple-limb, then need to find out by part of speech analysis Answer is positive or negative sense.It then can directly be arrived with the trend of configuration node if there is hooks according to different trends Conclusion.For example, for answering sentence " 172 centimetres, 72 kilograms ", wherein including numeral-classifier compound " 172,72 ", including name entity " li Meter, kilogram ", which is divided by comprehensive analysis answers quantity and answers sentence, that is, answering theme is to answer quantity.
Finally, according to Question Classification result and answer classification results and generate an answer pair, for example, by inquire quantity question sentence and The question matching of quantity is answered to together, details are not described herein again.
204, art tree is talked about according to target and Effect of follow-up visit by telephone is carried out to follow-up object.
Art tree is talked about according to target, and Effect of follow-up visit by telephone is carried out to follow-up object.
Talk about the answer in art tree to traversing according to target, the problem of root node be sent to follow-up object, and from The answer statement that gets at object is visited, answer statement is handled, and with answer to matching, and is calculated next The follow-up problem of a child node completes a follow-up task repeatedly until traversing leaf node.
It is understood that VoP is obtained from the equipment of follow-up subject side during carrying out Effect of follow-up visit by telephone, Need to carry out VoP the front end language of necessary decoding, the tinkle of bells identification, mute detection, removal ambient noise, resampling Sound processing, obtain may finally to speech recognition speech waveform data and handled.During enquirement, need problem Speech form is converted to from textual form, and is transmitted to the equipment of follow-up subject side, and follow-up is reached by voip network The speech line of the equipment of subject side.
It should be noted that art table will be made of multiple problems if complete, different answers will also guide words art Trend, so defining data structure of the multiway tree as structuring words art table.Each node indicates different to its child node If art move towards, root node indicates the starting point of words art table, i.e. first problem, and each node has n sub- nodes to indicate the node The different effective answer type of n-1 kind and a kind of Exception Type will be had, wherein n is integer more than or equal to 2, final time It goes through to leaf node, leaf node terminates this follow-up dialogue as final conclusion.
205, the result of Effect of follow-up visit by telephone is obtained.
Obtain Effect of follow-up visit by telephone as a result, the content record of entire Effect of follow-up visit by telephone is got off, wherein the content packet of Effect of follow-up visit by telephone Include voice and text.Data are all recorded in content of text after the voice content of the equipment transmission of follow-up subject side and conversion Library.
In the embodiment of the present invention, the relevant information of follow-up object is obtained;Target follow-up words are configured according to the relevant information Art table;Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;According to described Target talks about art tree and carries out Effect of follow-up visit by telephone to the follow-up object;Obtain the result of the Effect of follow-up visit by telephone.Follow-up words art table is abstracted For the structural data that can be identified with store by computer, automatic telephone follow-up is realized, reduction is artificial to be participated in, and phone is improved The efficiency of follow-up.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention Described that target follow-up words art table is converted to target words art tree in alternative embodiment, target words art tree includes that multiple nodes include:
Sentence analysis is carried out to target follow-up words art table to handle to obtain processing result;
Target is configured according to processing result and talks about art tree, and it includes multiple nodes that target, which talks about art tree,.
In the present embodiment, the follow-up words art table that Effect of follow-up visit by telephone device obtains configuration carries out Sentence analysis, and according to analysis As a result building target talks about art tree, provides the words specific conversion method of art tree, improves treatment effeciency.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention In alternative embodiment, it is described to target follow-up words art table carry out Sentence analysis handle to obtain processing result include:
The interrogative in target follow-up words art table is obtained, determines question sentence;
Question sentence is handled to obtain question sentence theme;
Classification is carried out to question sentence according to question sentence theme and obtains Question Classification result;
It obtains in target follow-up words art table and answers sentence;
Answer sentence, which is handled to obtain, answers a theme;
It carries out classification and obtains to answer a classification results according to answering theme and answering a sentence;
It is described to include: according to processing result configuration target words art tree
According to Question Classification result and answers a classification results and determine answer pair;
According to answer to the node of configuration target words art tree.
In the present embodiment, the process for carrying out Sentence analysis processing to target follow-up words art table is described, and provides tool The realization step of body, increases the implementation of embodiment, it is ensured that the correctness for the treatment of process.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention In alternative embodiment, it is described question sentence is handled to obtain question sentence theme include:
Question sentence is segmented, multiple words after being split;
Part-of-speech tagging is carried out to each word in multiple words;
Entity recognition is named to the question sentence after part-of-speech tagging;
Interdependent syntactic analysis is carried out to the question sentence after name Entity recognition;
Word sense disambiguation is carried out to the question sentence after interdependent syntactic analysis;
The question sentence theme of question sentence after obtaining word sense disambiguation.
Specifically, being segmented to question sentence, part-of-speech tagging, naming Entity recognition, interdependent syntactic analysis, word sense disambiguation etc. Reason, extracts the question sentence theme in question sentence, and classify to question sentence according to question sentence theme, obtains Question Classification result.It can be with Understand, name entity, noun, verb, interrogative etc. all can serve as the parameter of Question Classification.For example, " being asked for question sentence Asking you recently has flu, fever or the symptom of insomnia ", wherein " have " including interrogative, including name entity " flu, hair Burn, insomnia ", which is divided into the question sentence of inquiry state by comprehensive analysis, i.e. question sentence theme is inquiry state.
In the present embodiment, the specific implementation step for obtaining question sentence theme is refined, the standard of the question sentence theme of acquisition is increased True property is more accurately transitioned into what another said art tree node from a words art tree node.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention In alternative embodiment, the answer sentence, which is handled to obtain, to be answered a theme and includes:
It answers sentence to be segmented, multiple words after being split;
Homonym replacement is carried out to each word in multiple words;
Sentence of answering replaced to homonym carries out part-of-speech tagging;
Entity recognition is named to the sentence of answering after part-of-speech tagging;
After obtaining name Entity recognition answer sentence answer a theme.
In the present embodiment, the specific implementation step for obtaining and answering a theme is refined, the standard for answering a theme of acquisition is increased True property is more accurately transitioned into what another said art tree node from a words art tree node.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention It is described to include: to follow-up object progress Effect of follow-up visit by telephone according to target words art tree in alternative embodiment
Effect of follow-up visit by telephone is carried out to follow-up object since the root node of target words art tree, until traversing the leaf segment of words art tree Point.
In the present embodiment, the node of target words art tree is traversed, until present node is the leaf node for talking about art tree, really The integrality of Effect of follow-up visit by telephone each time is protected.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention It is described to include: to follow-up object progress Effect of follow-up visit by telephone since the root node of target words art tree in alternative embodiment
Determine the first problem of the root node of target words art tree;
Corresponding with first problem first is obtained from the equipment of follow-up subject side to answer;
It is answered according to first and determines the first child node;
It determines the Second Problem of the first child node and obtains corresponding with Second Problem second and answer, and determine the second son section Point.
In the present embodiment, the process for traversing the first child node from the root node of target words art tree is refined, this is increased The implementation of embodiment.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention In alternative embodiment, described answer from the equipment of follow-up subject side acquisition corresponding with first problem first includes:
Speech form is converted from textual form by first problem, obtains first problem voice;
The equipment that first problem voice is sent to follow-up subject side;
Obtain the equipment feedback of follow-up subject side first answers voice;
Textual form is converted from speech form by the first answer voice, corresponding with first problem first is obtained and answers.
In the present embodiment, provides and obtain the first specific switch process answered, the first of speech form is answered and is converted First for textual form answers, and keeps the present embodiment more perfect in step.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention In alternative embodiment, described answer according to first determines that the first child node includes:
It answers described first and segments, multiple words after being split;
Homonym replacement is carried out to each word in the multiple word;
Replaced to homonym first answers progress part-of-speech tagging;
First after part-of-speech tagging is answered and is named Entity recognition;
The first theme answered after obtaining name Entity recognition;
The theme answer theme corresponding with the words first problem of art tree that described first answers is matched to obtain First matching result, first matching result include the highest answer theme of Topic Similarity answered with described first;
First child node is determined according to first matching result.
In the present embodiment, the theme that described first is answered answer theme corresponding with the words first problem of art tree into Row matching, determines the first child node for needing to access, increases the implementation of the present embodiment.
Optionally, on the basis of above-mentioned Fig. 2 corresponding embodiment, Effect of follow-up visit by telephone method provided in an embodiment of the present invention In alternative embodiment, the method also includes:
Obtain the telephone number in the relevant information of follow-up object;
Voice interface channel is established according to the equipment of telephone number and follow-up subject side.
In the present embodiment, the process for establishing voice interface channel is increased, makes the embodiment of the present invention with more logicality, and Condition is provided for subsequent Effect of follow-up visit by telephone process.
Effect of follow-up visit by telephone method a kind of in the application is illustrated above, below to the electricity for executing above-mentioned Effect of follow-up visit by telephone method Words follow-up device is illustrated.
Referring to Fig. 5, one embodiment of Effect of follow-up visit by telephone device includes: in the embodiment of the present application
First acquisition unit 501, for obtaining the relevant information of follow-up object;
Second acquisition unit 502, for obtaining target follow-up words art table corresponding with the relevant information of follow-up object;
Converting unit 503, for target follow-up words art table to be converted to target words art tree, the target words art tree packet Include multiple nodes;
Follow-up unit 504 carries out Effect of follow-up visit by telephone to the follow-up object for talking about art tree according to the target;
Third acquiring unit 505, for obtaining the result of the Effect of follow-up visit by telephone.
Referring to Fig. 6, another embodiment of Effect of follow-up visit by telephone device includes: in the embodiment of the present application
First acquisition unit 601, for obtaining the relevant information of follow-up object;
Second acquisition unit 602, for obtaining target follow-up words art table corresponding with the relevant information of follow-up object;
Converting unit 603, for target follow-up words art table to be converted to target words art tree, the target words art tree packet Include multiple nodes;
Follow-up unit 604 carries out Effect of follow-up visit by telephone to the follow-up object for talking about art tree according to the target;
Third acquiring unit 605, for obtaining the result of the Effect of follow-up visit by telephone.
Optionally, converting unit 603 can also include:
Processing module 6031 handles to obtain processing result for carrying out Sentence analysis to target follow-up words art table;
Configuration module 6032 talks about art tree, the target words art tree packet for configuring the target according to the processing result Include multiple nodes.
Optionally, processing module 6031 is specifically used for:
The interrogative in the target follow-up words art table is obtained, determines question sentence;
The question sentence is handled to obtain question sentence theme;
Classification is carried out to the question sentence according to the question sentence theme and obtains Question Classification result;
It obtains in the target follow-up words art table and answers sentence;
To it is described answer sentence and handled to obtain answer a theme;
According to it is described answer a theme to it is described answer sentence carry out classification obtain answer a classification results;
The configuration module 6032 is specifically used for:
Answer pair is determined according to the Question Classification result and a classification results of answering;
According to the answer to the node for configuring the target words art tree.
Optionally, processing module 6031 is specifically also used to:
The question sentence is segmented, multiple words after being split;
Part-of-speech tagging is carried out to each word in the multiple word;
Entity recognition is named to the question sentence after part-of-speech tagging;
Interdependent syntactic analysis is carried out to the question sentence after name Entity recognition;
Word sense disambiguation is carried out to the question sentence after interdependent syntactic analysis;
The question sentence theme of question sentence after obtaining word sense disambiguation.
Optionally, processing module 6031 is specifically also used to:
The sentence of answering is segmented, multiple words after being split;
Homonym replacement is carried out to each word in the multiple word;
Sentence of answering replaced to homonym carries out part-of-speech tagging;
Entity recognition is named to the sentence of answering after part-of-speech tagging;
After obtaining name Entity recognition answer sentence answer a theme.
Optionally, follow-up unit 604 can also include:
Follow-up module 6041, for since the target words art tree root node to the follow-up object progress phone with It visits, until traversing the leaf node of the words art tree.
Optionally, follow-up module 6041 is specifically used for:
Determine the first problem of the root node of the target words art tree;
Corresponding with the first problem first is obtained from the equipment of the follow-up subject side to answer;
It is answered according to described first and determines the first child node;
It determines the Second Problem of first child node and obtains corresponding with the Second Problem second and answer, and determine Second child node.
Optionally, follow-up module 6041 is also used to:
Speech form is converted from textual form by the first problem, obtains first problem voice;
The equipment that the first problem voice is sent to the follow-up subject side;
Obtain the equipment feedback of the follow-up subject side first answers voice;
From speech form textual form is converted for the first answer voice, obtains corresponding with the first problem the One answers.
Optionally, follow-up module 6041 is also used to:
It answers described first and segments, multiple words after being split;
Homonym replacement is carried out to each word in the multiple word;
Replaced to homonym first answers progress part-of-speech tagging;
First after part-of-speech tagging is answered and is named Entity recognition;
The first theme answered after obtaining name Entity recognition;
The theme answer theme corresponding with the words first problem of art tree that described first answers is matched to obtain First matching result, first matching result include the highest answer theme of Topic Similarity answered with described first;
First child node is determined according to first matching result.
Optionally, the Effect of follow-up visit by telephone device can also include:
4th acquiring unit 606, the telephone number in relevant information for obtaining the follow-up object;
Unit 607 is established, is led to for establishing voice with the equipment of the follow-up subject side according to the telephone number and connecting Road.
The Effect of follow-up visit by telephone device in the embodiment of the present invention is described from the angle of modular functionality entity above, under Face is described the Effect of follow-up visit by telephone device in the embodiment of the present invention from the angle of hardware handles.Referring to Fig. 7, the application is implemented Another embodiment of Effect of follow-up visit by telephone device includes: in example
Fig. 7 is a kind of structural schematic diagram of Effect of follow-up visit by telephone device provided in an embodiment of the present invention, the Effect of follow-up visit by telephone device 700 Bigger difference can be generated because configuration or performance are different, may include that (English is complete for one or more central processing units Claim: central processing units, English abbreviation: CPU) 701 (for example, one or more processors) and storage Device 702, one or more storage application programs 704 or data 705 storage medium 703 (such as one or more Mass memory unit).Wherein, memory 702 and storage medium 703 can be of short duration storage or persistent storage.It is stored in storage The program of medium 703 may include one or more modules (diagram does not mark), each module may include to phone with Visit the series of instructions operation in device.Further, central processing unit 701 can be set to communicate with storage medium 703, The series of instructions operation in storage medium 703 is executed on Effect of follow-up visit by telephone device 700.
Effect of follow-up visit by telephone device 700 can also include one or more power supplys 706, one or more wired or nothings Wired network interface 707, one or more input/output interfaces 708, and/or, one or more operating systems 709, Such as Windows Server, Mac OS X, Unix, Linux, FreeBSD etc..
The step as performed by Effect of follow-up visit by telephone device can be based on the Effect of follow-up visit by telephone device shown in Fig. 7 in above-described embodiment Structure.
For example, the central processing unit 701 can call the instruction execution stored in storage medium 703 to operate as follows:
Obtain the relevant information of follow-up object;
It obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table;
Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;
Art tree is talked about according to the target, and Effect of follow-up visit by telephone is carried out to the follow-up object;
Obtain the result of the Effect of follow-up visit by telephone.
Fig. 8 is a kind of structural schematic diagram of Effect of follow-up visit by telephone device provided in an embodiment of the present invention, comprising:
Scheduler module (Scheduler), telephone line service module (PSTN Servant), the preposition module (Voice of voice Engine), nucleus module (Core Engine);
The scheduler module, for being responsible for session management, including conversation recording, task configuration, task schedule.It defines each Secondary Effect of follow-up visit by telephone is task, each task must include the basic document of follow-up object and the case where according to follow-up object Art table and words art table database is stored in if configuration is different;
The telephone line service module, for being responsible for the relevant interface in call center (Call Center) and phone Line status is synchronized to scheduler module and nucleus module while listening for the state of route by line management;
The preposition module of language, the line identification for being responsible for returning monitor ip voice gateway and are transmitted through the voice packet number come According to, to voice bag data carry out it is necessary decoding, the tinkle of bells identification, it is mute detection, removal ambient noise, resampling front end voice Processing, obtain may finally to speech recognition speech waveform data and be distributed to nucleus module;
The nucleus module, for being responsible for the relevant work of natural language processing, which includes speech-to-text modules (speech to text engine, STT Engine), text-to-speech module (text to speech engine, TTS Engine), art database is talked about in follow-up, is talked about art tree analyzer (Tree Parser) and is responsible for and the interaction of other function module Logic control module (Logic Controller).
It is understood that when executing a follow-up task, PSTN Servant can be managed according to Scheduler with The title and telephone number in the essential information of object are visited, voip phone route is established to gateway (Gateway) request, such as schemes Shown in 9;After route is successfully established, call center calls the phone of follow-up object, and is sent speech data to by Gateway Voice Engine, as shown in Figure 10;Core Engine identifies voice and is converted to text and is delivered to by STT Engine Tree Parser, the text answered by analysis follow-up object, art table is loaded into structure from database if being configured according to task Art tree if change begins stepping through from root node problem, and question text is converted to voice by TTS Engine and is sent to PSTN Servant is packaged, and reaches the call voice route of follow-up object by voip network touching, as shown in figure 11;Follow-up task is complete Cheng Shi, telephone line will be hung up, and PSTN Servant notifies the completion of Scheduler and Core Engine follow-up task, As shown in figure 12.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, reference can be made to the related descriptions of other embodiments.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the module It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple module or components It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or module It closes or communicates to connect, can be electrical property, mechanical or other forms.
The module as illustrated by the separation member may or may not be physically separated, aobvious as module The component shown may or may not be physical module, it can and it is in one place, or may be distributed over multiple On network module.Some or all of the modules therein can be selected to realize the mesh of this embodiment scheme according to the actual needs 's.
It, can also be in addition, each functional module in each embodiment of the present invention can integrate in a processing module It is that modules physically exist alone, can also be integrated in two or more modules in a module.Above-mentioned integrated mould Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as Fruit realizes and that when sold or used as an independent product can store can in a computer in the form of software function module It reads in storage medium.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real It is existing.When implemented in software, it can entirely or partly realize in the form of a computer program product.
The computer program product includes one or more computer instructions.Load and execute on computers the meter When calculation machine program instruction, entirely or partly generate according to process or function described in the embodiment of the present invention.The computer can To be general purpose computer, special purpose computer, computer network or other programmable devices.The computer instruction can be deposited Storage in a computer-readable storage medium, or from a computer readable storage medium to another computer readable storage medium Transmission, for example, the computer instruction can pass through wired (example from a web-site, computer, server or data center Such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wireless (such as infrared, wireless, microwave) mode to another website Website, computer, server or data center are transmitted.The computer readable storage medium can be computer and can deposit Any usable medium of storage either includes that the data storages such as one or more usable mediums integrated server, data center are set It is standby.The usable medium can be magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or partly lead Body medium (such as solid state hard disk Solid State Disk (SSD)) etc..
Technical solution provided by the present invention is described in detail above, specific examples are applied in the present invention to this The principle and embodiment of invention is expounded, method of the invention that the above embodiments are only used to help understand and Its core concept;At the same time, for those skilled in the art in specific embodiment and is answered according to the thought of the present invention With in range, there will be changes, in conclusion the contents of this specification are not to be construed as limiting the invention.

Claims (15)

1. a kind of Effect of follow-up visit by telephone method characterized by comprising
Obtain the relevant information of follow-up object;
It obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table;
Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;
Art tree is talked about according to the target, and Effect of follow-up visit by telephone is carried out to the follow-up object;
Obtain the result of the Effect of follow-up visit by telephone.
2. the method according to claim 1, wherein described be converted to target words for target follow-up words art table Art tree, the target words art tree include that multiple nodes include:
Sentence analysis is carried out to target follow-up words art table to handle to obtain processing result;
The target is configured according to the processing result and talks about art tree, and the target words art tree includes multiple nodes.
3. according to the method described in claim 2, it is characterized in that, described carry out Sentence analysis to target follow-up words art table Processing obtains processing result and includes:
The interrogative in the target follow-up words art table is obtained, determines question sentence;
The question sentence is handled to obtain question sentence theme;
Classification is carried out to the question sentence according to the question sentence theme and obtains Question Classification result;
It obtains in the target follow-up words art table and answers sentence;
To it is described answer sentence and handled to obtain answer a theme;
According to it is described answer a theme to it is described answer sentence carry out classification obtain answer a classification results;
It is described to include: according to the processing result configuration target words art tree
Answer pair is determined according to the Question Classification result and a classification results of answering;
According to the answer to the node for configuring the target words art tree.
4. according to the method described in claim 3, it is characterized in that, described handle the question sentence to obtain question sentence theme packet It includes:
The question sentence is segmented, multiple words after being split;
Part-of-speech tagging is carried out to each word in the multiple word;
Entity recognition is named to the question sentence after part-of-speech tagging;
Interdependent syntactic analysis is carried out to the question sentence after name Entity recognition;
Word sense disambiguation is carried out to the question sentence after interdependent syntactic analysis;
The question sentence theme of question sentence after obtaining word sense disambiguation.
5. according to the method described in claim 3, it is characterized in that, it is described to it is described answer sentence and handled to obtain answer a theme packet It includes:
The sentence of answering is segmented, multiple words after being split;
Homonym replacement is carried out to each word in the multiple word;
Sentence of answering replaced to homonym carries out part-of-speech tagging;
Entity recognition is named to the sentence of answering after part-of-speech tagging;
After obtaining name Entity recognition answer sentence answer a theme.
6. the method according to claim 1, wherein described talk about art tree to the follow-up object according to the target Carrying out Effect of follow-up visit by telephone includes:
Effect of follow-up visit by telephone is carried out to the follow-up object since the root node of target words art tree, until traversing the words art The leaf node of tree.
7. according to the method described in claim 6, it is characterized in that, it is described since the target words art tree root node to institute Stating follow-up object progress Effect of follow-up visit by telephone includes:
Determine the first problem of the root node of the target words art tree;
Corresponding with the first problem first is obtained from the equipment of the follow-up subject side to answer;
It is answered according to described first and determines the first child node;
It determines the Second Problem of first child node and obtains corresponding with the Second Problem second and answer, and determine second Child node.
8. the method according to the description of claim 7 is characterized in that it is described from the equipment of the follow-up subject side obtain with it is described First problem corresponding first, which is answered, includes:
Speech form is converted from textual form by the first problem, obtains first problem voice;
The equipment that the first problem voice is sent to the follow-up subject side;
Obtain the equipment feedback of the follow-up subject side first answers voice;
Textual form is converted from speech form by the first answer voice, is obtained first time corresponding with the first problem It answers.
9. according to the method described in claim 8, it is characterized in that, described answer according to described first determines the first child node packet It includes:
It answers described first and segments, multiple words after being split;
Homonym replacement is carried out to each word in the multiple word;
Replaced to homonym first answers progress part-of-speech tagging;
First after part-of-speech tagging is answered and is named Entity recognition;
The first theme answered after obtaining name Entity recognition;
It is matched the theme answer theme corresponding with the words first problem of art tree that described first answers to obtain first Matching result, first matching result include the highest answer theme of Topic Similarity answered with described first;
First child node is determined according to first matching result.
10. according to the method described in claim 9, it is characterized in that, the first problem is converted from textual form described Before speech form, the method also includes:
Obtain the telephone number in the relevant information of the follow-up object;
Voice interface channel is established according to the equipment of the telephone number and the follow-up subject side.
11. a kind of Effect of follow-up visit by telephone device characterized by comprising
First acquisition unit, for obtaining the relevant information of follow-up object;
Second acquisition unit, for obtaining target follow-up words art table corresponding with the relevant information of follow-up object;
Converting unit, for target follow-up words art table to be converted to target words art tree, the target words art tree includes multiple Node;
Follow-up unit carries out Effect of follow-up visit by telephone to the follow-up object for talking about art tree according to the target;
Third acquiring unit, for obtaining the result of the Effect of follow-up visit by telephone.
12. Effect of follow-up visit by telephone device according to claim 11, which is characterized in that the converting unit includes:
Processing module handles to obtain processing result for carrying out Sentence analysis to target follow-up words art table;
Configuration module talks about art tree for configuring the target according to the processing result, and the target words art tree includes multiple sections Point.
13. Effect of follow-up visit by telephone device according to claim 12, which is characterized in that the processing module is specifically used for:
The interrogative in the target follow-up words art table is obtained, determines question sentence;
The question sentence is handled to obtain question sentence theme;
Classification is carried out to the question sentence according to the question sentence theme and obtains Question Classification result;
It obtains in the target follow-up words art table and answers sentence;
To it is described answer sentence and handled to obtain answer a theme;
According to it is described answer a theme to it is described answer sentence carry out classification obtain answer a classification results;
The configuration module is specifically used for:
Answer pair is determined according to the Question Classification result and a classification results of answering;
According to the answer to the node for configuring the target words art tree.
14. a kind of Effect of follow-up visit by telephone device characterized by comprising memory, transceiver, processor and bus system;
Wherein, the memory is for storing program;
The processor is used to execute the program in the memory, includes the following steps:
Obtain the relevant information of follow-up object;
It obtains target follow-up corresponding with the relevant information of follow-up object and talks about art table;
Target follow-up words art table is converted into target words art tree, the target words art tree includes multiple nodes;
Art tree is talked about according to the target, and Effect of follow-up visit by telephone is carried out to the follow-up object;
Obtain the result of the Effect of follow-up visit by telephone;
The bus system is for connecting the memory and the processor, so that the memory and the processor It is communicated.
15. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer executes such as Method described in any one of claims 1 to 10.
CN201810190178.5A 2018-03-08 2018-03-08 A kind of Effect of follow-up visit by telephone method, apparatus and computer readable storage medium Pending CN110246593A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112185590A (en) * 2020-10-28 2021-01-05 华中科技大学同济医学院附属协和医院 Patient intelligent warehousing return visit system and working method thereof
CN112233814A (en) * 2020-10-16 2021-01-15 青岛大学附属医院 Postoperative follow-up cloud platform
CN112750513A (en) * 2020-12-31 2021-05-04 复旦大学附属华山医院 Parathyroid resection patient management system and method
CN113139384A (en) * 2021-04-28 2021-07-20 北京百度网讯科技有限公司 Telephone verification, map processing and knowledge graph processing method and device

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA1234937A (en) * 1985-08-28 1988-04-05 Stuart F. Eckmann Interactive educational system with voice reaction and access using tone-generating telephone
CA2070561A1 (en) * 1991-06-06 1992-12-07 Michael Ii Roizen Portable medical questionnaire presentation device
JP2005027279A (en) * 2003-06-10 2005-01-27 Takeshi Haruyama Telephone re-examination recording apparatus, telephone re-examination recording system, and telephone re-examination recording method
US20080119228A1 (en) * 2006-11-22 2008-05-22 Bindu Rama Rao System for providing interactive media to user of mobile device
US20090062623A1 (en) * 2007-08-30 2009-03-05 Kimberly-Clark Worldwide, Inc. Identifying possible medical conditions of a patient
US20110218822A1 (en) * 2010-03-04 2011-09-08 Koninklijke Philips Electronics N.V. Remote patient management system adapted for generating a teleconsultation report
US20140316764A1 (en) * 2013-04-19 2014-10-23 Sri International Clarifying natural language input using targeted questions
CN105426675A (en) * 2015-11-13 2016-03-23 江苏大学 Full-automatic hospital telephone follow-up method and telephone device thereof
CN105912846A (en) * 2016-04-07 2016-08-31 南京小网科技有限责任公司 Intelligent medical aid decision making system on basis of cloud computing technique and medical knowledge base technique
CN106021439A (en) * 2016-05-16 2016-10-12 腾讯科技(深圳)有限公司 Communication number processing method and device
CN106777275A (en) * 2016-12-29 2017-05-31 北京理工大学 Entity attribute and property value extracting method based on many granularity semantic chunks
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
CN107577991A (en) * 2017-08-10 2018-01-12 深圳市心上信息技术有限公司 Follow up data processing method, device, storage medium and computer equipment

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA1234937A (en) * 1985-08-28 1988-04-05 Stuart F. Eckmann Interactive educational system with voice reaction and access using tone-generating telephone
CA2070561A1 (en) * 1991-06-06 1992-12-07 Michael Ii Roizen Portable medical questionnaire presentation device
JP2005027279A (en) * 2003-06-10 2005-01-27 Takeshi Haruyama Telephone re-examination recording apparatus, telephone re-examination recording system, and telephone re-examination recording method
US20080119228A1 (en) * 2006-11-22 2008-05-22 Bindu Rama Rao System for providing interactive media to user of mobile device
US20090062623A1 (en) * 2007-08-30 2009-03-05 Kimberly-Clark Worldwide, Inc. Identifying possible medical conditions of a patient
US20110218822A1 (en) * 2010-03-04 2011-09-08 Koninklijke Philips Electronics N.V. Remote patient management system adapted for generating a teleconsultation report
US20140316764A1 (en) * 2013-04-19 2014-10-23 Sri International Clarifying natural language input using targeted questions
CN105426675A (en) * 2015-11-13 2016-03-23 江苏大学 Full-automatic hospital telephone follow-up method and telephone device thereof
CN105912846A (en) * 2016-04-07 2016-08-31 南京小网科技有限责任公司 Intelligent medical aid decision making system on basis of cloud computing technique and medical knowledge base technique
CN106021439A (en) * 2016-05-16 2016-10-12 腾讯科技(深圳)有限公司 Communication number processing method and device
CN106777275A (en) * 2016-12-29 2017-05-31 北京理工大学 Entity attribute and property value extracting method based on many granularity semantic chunks
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
CN107577991A (en) * 2017-08-10 2018-01-12 深圳市心上信息技术有限公司 Follow up data processing method, device, storage medium and computer equipment

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
朱冬雪 等: "基于敏感信息识别技术的服务质量闭环管控", 《电力设备管理》, no. 7, 31 July 2018 (2018-07-31), pages 42 - 45 *
王光宇 等: "《计算机科学概论》", vol. 1, 31 July 2016, 电子科技大学出版社, pages: 115 *
童晓渝等编著: "软交换技术与实现", vol. 1, 西南交通大学出版社, pages: 85 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112233814A (en) * 2020-10-16 2021-01-15 青岛大学附属医院 Postoperative follow-up cloud platform
CN112185590A (en) * 2020-10-28 2021-01-05 华中科技大学同济医学院附属协和医院 Patient intelligent warehousing return visit system and working method thereof
CN112750513A (en) * 2020-12-31 2021-05-04 复旦大学附属华山医院 Parathyroid resection patient management system and method
CN112750513B (en) * 2020-12-31 2024-04-05 复旦大学附属华山医院 Parathyroid resection patient management system and method
CN113139384A (en) * 2021-04-28 2021-07-20 北京百度网讯科技有限公司 Telephone verification, map processing and knowledge graph processing method and device

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