CN107066818A - A kind of methods for the diagnosis of diseases and terminal - Google Patents

A kind of methods for the diagnosis of diseases and terminal Download PDF

Info

Publication number
CN107066818A
CN107066818A CN201710207401.8A CN201710207401A CN107066818A CN 107066818 A CN107066818 A CN 107066818A CN 201710207401 A CN201710207401 A CN 201710207401A CN 107066818 A CN107066818 A CN 107066818A
Authority
CN
China
Prior art keywords
disease
user
diseases
symptomses
kinds
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Withdrawn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
CN201710207401.8A
Other languages
Chinese (zh)
Inventor
朱益
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.)
Shenzhen Jinli Communication Equipment Co Ltd
Original Assignee
Shenzhen Jinli Communication Equipment 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 Shenzhen Jinli Communication Equipment Co Ltd filed Critical Shenzhen Jinli Communication Equipment Co Ltd
Priority to CN201710207401.8A priority Critical patent/CN107066818A/en
Publication of CN107066818A publication Critical patent/CN107066818A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

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

Abstract

The embodiment of the present invention provides a kind of methods for the diagnosis of diseases and terminal, and wherein method includes:Obtain the disease symptomses of user;Judge the kinds of Diseases that user is suffered from according to the disease symptomses of the user and the disease sample data prestored, and obtain the rehabilitation suggestion corresponding with the kinds of Diseases, wherein, the disease sample data include disease name, disease symptomses and the rehabilitation suggestion of various diseases;By the kinds of Diseases and rehabilitation suggestion output to user.The present invention can make terminal judge the kinds of Diseases that user is suffered from according to the symptom of user, and provide the user corresponding rehabilitation suggestion.

Description

A kind of methods for the diagnosis of diseases and terminal
Technical field
The embodiment of the present invention belongs to medical diagnosis on disease technical field, more particularly to a kind of methods for the diagnosis of diseases and terminal.
Background technology
With the quickening that life section gathers, the life stress of people gradually increases, and disease incidence power also gradually rises.Current Medical procedure can help patient rapidly to alleviate slight illness, but be due to most patient itself and do not know about rehabilitation and know Know, therefore, even in most cases needing patient to suffer from some common small diseases, such as:Flu.Bronchitis etc., Diagnosis and treatment must be gone to carry out to hospital in person, and due to hospital register diagnosis and treatment number it is typically more, therefore patient generally requires For a long time team could carry out diagnosis and treatment to row, so not only delay treatment time, but also may aggravate the development of the state of an illness.Therefore, How so that patient itself grasps some basic rehabilitation knowledge and is particularly important.
The content of the invention
The embodiment of the present invention provides a kind of methods for the diagnosis of diseases and terminal, and terminal can be made to be judged to use according to the symptom of user The kinds of Diseases that family is suffered from, and provide the user corresponding rehabilitation suggestion.
On the one hand the embodiment of the present invention provides a kind of methods for the diagnosis of diseases, and the methods for the diagnosis of diseases includes:
Obtain the disease symptomses of user;
Judge the kinds of Diseases that user is suffered from according to the disease symptomses of the user and the disease sample data prestored, and obtain The rehabilitation corresponding with the kinds of Diseases is taken to advise, wherein, disease name of the disease sample data including various diseases, Disease symptomses and rehabilitation suggestion;
By the kinds of Diseases and rehabilitation suggestion output to user.
On the other hand the embodiment of the present invention also provides a kind of terminal, and the terminal includes:
Illness data capture unit, the disease symptomses for obtaining user;
Medical diagnosis on disease unit, user institute is judged for the disease symptomses according to the user and the disease sample data prestored The kinds of Diseases of trouble, and the rehabilitation suggestion corresponding with the kinds of Diseases is obtained, wherein, the disease sample data include each Disease name, disease symptomses and the rehabilitation suggestion of class disease;
Diagnostic recommendations output unit, for the kinds of Diseases and rehabilitation suggestion to be exported to user.
Disease name corresponding to the kinds of Diseases of maximum probability is the disease type that the user is suffered from.
The embodiment of the present invention is by obtaining the disease symptomses of user;According to the disease symptomses of the user and the disease prestored Sample data judges the kinds of Diseases that user is suffered from, and obtains the rehabilitation suggestion corresponding with the kinds of Diseases, wherein, it is described Disease sample data include disease name, disease symptomses and the rehabilitation suggestion of various diseases;By kinds of Diseases and described Rehabilitation suggestion output is to user, so that terminal can judge the kinds of Diseases that user is suffered from according to the symptom of user, and to use Family provides corresponding rehabilitation suggestion.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, for ability For the those of ordinary skill of domain, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached Figure.
Fig. 1 is a kind of schematic flow diagram of methods for the diagnosis of diseases provided in an embodiment of the present invention;
Fig. 2 is a kind of schematic flow diagram for methods for the diagnosis of diseases that another embodiment of the present invention is provided;
Fig. 3 is a kind of schematic block diagram of terminal provided in an embodiment of the present invention;
Fig. 4 is a kind of schematic block diagram for terminal that another embodiment of the present invention is provided;
Fig. 5 is a kind of schematic block diagram for terminal that yet another embodiment of the invention is provided.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to the scope of protection of the invention.
It should be appreciated that ought be in this specification and in the appended claims in use, term " comprising " and "comprising" be indicated Described feature, entirety, step, operation, the presence of element and/or component, but be not precluded from one or more of the other feature, it is whole Body, step, operation, element, component and/or its presence or addition for gathering.
It is also understood that the term used in this description of the invention is merely for the sake of the mesh for describing specific embodiment And be not intended to limit the present invention.As used in description of the invention and appended claims, unless on Other situations are hereafter clearly indicated, otherwise " one " of singulative, " one " and "the" are intended to include plural form.
It will be further appreciated that, the term "and/or" used in description of the invention and appended claims is Refer to any combinations of one or more of the associated item listed and be possible to combination, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt Be construed to " when ... " or " once " or " in response to determining " or " in response to detecting ".Similarly, phrase " if it is determined that " or " if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In the specific implementation, the terminal described in the embodiment of the present invention is including but not limited to such as with touch sensitive surface The mobile phone, laptop computer or tablet PC of (for example, touch-screen display and/or touch pad) etc it is other just Portable device.It is to be further understood that in certain embodiments, the equipment not portable communication device, but with touching Touch the desktop computer of sensing surface (for example, touch-screen display and/or touch pad).
In discussion below, the terminal including display and touch sensitive surface is described.It is, however, to be understood that It is that terminal can include one or more of the other physical user-interface device of such as physical keyboard, mouse and/or control-rod.
Terminal supports various application programs, such as one or more of following:Drawing application program, demonstration application journey Sequence, word-processing application, website create application program, disk imprinting application program, spreadsheet applications, game application Program, telephony application, videoconference application, email application, instant messaging applications, exercise Support application program, photo management application program, digital camera application program, digital camera application program, web-browsing application Program, digital music player application and/or video frequency player application program.
The various application programs that can be performed in terminal can use such as touch sensitive surface at least one is public Physical user-interface device.It can adjust and/or change among applications and/or in corresponding application programs and touch sensitive table The corresponding information shown in the one or more functions and terminal in face.So, the public physical structure of terminal is (for example, touch Sensing surface) the various application programs with user interface directly perceived and transparent for a user can be supported.
It is that the embodiment of the present invention provides a kind of schematic flow diagram of methods for the diagnosis of diseases, the execution master of this method referring to Fig. 1 Body is the terminal described in the embodiment of the present invention.As shown in figure 1, this method may include following steps:
Step S101, obtains the disease symptomses of user.
Wherein, the disease symptomses for obtaining user can include:
The physiological characteristic parameter of the user is gathered, the disease disease of user according to the physiological characteristic Parameter analysis Shape;Or,
Receive the disease symptomses data of user's input, the disease disease of user according to the disease symptomses data acquisition Shape.
In the present embodiment, the terminal can gather user's by built-in body temperature transducer, heart rate sensor etc. The physiological characteristic parameter such as body temperature and heartbeat, is analyzed according to the physiological characteristic such as the body temperature of the user collected and heartbeat parameter The disease symptomses of the user, for example:If the body temperature of the user collected is more than default normal body temperature threshold value, symptom includes High temperature.
In the present embodiment, the terminal can also provide a user interface, and the disease disease of itself is inputted for user Shape, terminal can obtain the disease symptomses of user according to the disease symptomses data of the user's input received.
It should be noted that in the present embodiment, the disease of user can also be obtained by way of both the above is combined Symptom, for example:Terminal can gather the physiology such as body temperature, the heart rate of user by biosensors such as built-in body temperature, hearts rate Characteristic parameter, and receive the illness that user can not be got by user interface input headache, nasal obstruction etc. by sensor The language description information of symptom, the physiological characteristic parameter information and user collected then in conjunction with sensor is defeated by operation interface The language description information that enters obtains the condition symptoms of user.
Step S102, the disease that user is suffered from is judged according to the disease symptomses of the user and the disease sample data prestored Species, and the rehabilitation suggestion corresponding with the kinds of Diseases is obtained, wherein, the disease sample data include various diseases Disease name, disease symptomses and rehabilitation suggestion.
In the present embodiment, the disease sample data of various diseases are previously stored with the terminal, terminal is being got Can inquire about in the disease sample data prestored whether have matched disease according to the symptom after the disease symptomses of user Disease symptoms, if so, then disease name corresponding with the disease symptomses in acquisition disease sample data and rehabilitation suggestion, its In, the disease name got is the disease type that user is suffered from.
Step S103, by the kinds of Diseases and rehabilitation suggestion output to user.
In the present embodiment, the kinds of Diseases and the rehabilitation can be advised with the shape of word by the screen of terminal Formula is shown to user, can also be advised the speech category and the rehabilitation with speech play by the speech ciphering equipment of terminal Form is exported to user, or can also text importing and voice with reference to by way of by the kinds of Diseases and the rehabilitation It is recommended that output is to user.The kinds of Diseases and rehabilitation suggestion that so user just can export according to terminal take corresponding treatment to arrange Apply and saved oneself, that is, save hospital and register time of queuing, the state of an illness can also be avoided further to deteriorate.
Above as can be seen that a kind of methods for the diagnosis of diseases of the present embodiment offer is due to the disease disease by obtaining user Shape;Judge the kinds of Diseases that user is suffered from according to the disease symptomses of the user and the disease sample data that prestore, and obtain and The corresponding rehabilitation suggestion of the kinds of Diseases, wherein, the disease sample data include the disease name of various diseases, disease Symptom and rehabilitation suggestion;By the kinds of Diseases and rehabilitation suggestion output to user so that terminal can according to The symptom at family judges the kinds of Diseases that user is suffered from, and provides the user corresponding rehabilitation suggestion.
Fig. 2 is a kind of schematic flow diagram for methods for the diagnosis of diseases that another embodiment of the present invention is provided, the execution of this method Main body is the terminal described in another embodiment of the present invention.Shown in Figure 2, this method includes:
Step S201, the disease name of various diseases is obtained by disease crawlers from related retrieved web.
In the present embodiment, the related web site includes but is not limited to all kinds of e-book websites.
In the present embodiment, step S201 is specifically included:
For the title of the books stored in each related web site, if including keyword " breathing " and " disease in title Disease ", then store the directory tree of the books;
For the directory tree of the books of acquisition, contain keyword " disease " in some node if finding, store the node All child node values be used as breathing arrive disease name data.
Step S202, the disease symptomses of various diseases are obtained by illness crawlers from related retrieved web.
In the present embodiment, step S202 is specifically included:
Human organ dictionary is pre-configured with, the human organ dictionary includes the title of all organs of human body, for example:Head, The entries such as eye, ear, nose;
For the title of the books stored in each related web site, if including keyword " medical diagnosis on disease " in title, Store the directory tree of the books;
For the directory tree of the books of acquisition, contain keyword " disease " in some node if finding, store the node All child node values, and record the corresponding page number of each title;
According to the corresponding page number of each title of record, cutting is carried out to the document of the books, several new texts are generated Shelves, and new document is classified;Wherein, carrying out classification of diseases to new document includes:To each new document, people is retrieved The number of times that each entry in body organ dictionary occurs in a document, will appear from the most entry of number of times, is used as the disease of the document Disease classification;
To each new document, to each entry in human organ dictionary, if the entry occurs in a document, and Occur the parallel construction separated with " pause mark " before and after entry, then extract the content in this parallel construction as corresponding to the document Kinds of Diseases disease symptomses.
For example, in a preferable implementation example, the disease symptomses retrieved corresponding to a few class diseases are as follows:
Step S203, is built by rehabilitation of the rehabilitation crawlers according to corresponding to obtaining various diseases from related retrieved web View.
In the present embodiment, step S203 is specifically included:
For the title of the books stored on each related web site, if including keyword " breathing " and " health in the title It is multiple ", then store the directory tree of the books;
For the directory tree of the books of acquisition:
Contain keyword " rehabilitation " in some node if finding, store all child node values of the node, and record every The corresponding page number of individual title;
The corresponding content of the above-mentioned page number is searched, data are advised as rehabilitation;
And, contain keyword " disease " in some node if finding, store all child node values of the node, and remember Record the corresponding page number of each title;
According to the above-mentioned page number, cutting is done to the document of books, several new documents are generated;
To each new document:
The number of times that each entry in statistics human organ dictionary occurs in a document, will appear from the most entry of number of times, As the classification of diseases of the document, the rehabilitation suggestion is the rehabilitation suggestion corresponding to such disease.
For example, in a preferable implementation example, the rehabilitation suggestion retrieved corresponding to a few class diseases is as follows:
Disease name Rehabilitation is advised
Flu Drink water more, note it is warming, avoid and blow a cold wind over
Bronchitis Avoid it is pungent, give up smoking, drink tea more, diet it is light
Chronic pharyngitis Stay up late less, drink water more, avoid pungent
Chronic pneumonia Do chest expanding exercise more, keep the skin wet and electrolyte
Step S204, the association set up between disease name, disease symptomses and the rehabilitation suggestion of the various diseases is raw Into the disease sample data.
In the present embodiment, can be according to the disease disease corresponding to the various diseases got in step S203 and step S204 The incidence relation between three is set up in shape and rehabilitation suggestion, to generate disease sample data, is stored into the memory of terminal, So that subsequent query is used.
Step S205, obtains the disease symptomses of user.The implementation of the step and the step S101 in a upper embodiment Implementation it is identical, therefore, will not be repeated here.
Step S206, the disease that user is suffered from is judged according to the disease symptomses of the user and the disease sample data prestored Species, and the rehabilitation suggestion corresponding with the kinds of Diseases is obtained, wherein, the disease sample data include various diseases Disease name, disease symptomses and rehabilitation suggestion.
In the present embodiment, the disease symptomses according to the user and the disease sample data prestored judge user institute The kinds of Diseases of trouble include:
User is judged according to the disease symptomses of the user and the disease sample data prestored by NB Algorithm The disease type suffered from.
Further, in the present embodiment, it is described by NB Algorithm according to the disease symptomses of the user and The disease sample data prestored judge that the disease type that user is suffered from includes:
Calculated by leaf Bayes theorem according to the disease symptomses of the user and the disease sample data described in occurring In the case of the disease symptomses of user, the probability that various diseases occur;
Compare the size of the probability of various diseases generation, the disease name corresponding to the kinds of Diseases of maximum probability is institute State the disease type that user is suffered from.
Wherein, the leaf Bayes theorem is on chance event A and B conditional probability or first determining for marginal probability Reason, formula is as follows:
P (A/B)=P (B/A) * P (A)/P (B);
Wherein, P (A/B) is the probability that A occurs in the case where B occurs, and P (B/A) is that B occurs in the case where A occurs Probability, P (A) be event A occur probability, P (B) be event B occur probability.
For example:If implementing the data sample that disease data sample described in example includes 6 people one, correspondence is not Same disease and symptom is as follows, see the table below:
Disease name Disease symptomses
Flu Nasal obstruction
Bronchitis Pharynx is itched
Chronic pharyngitis Have a sore throat
Flu Nasal obstruction
Pneumonia Hyperpyrexia
Rhinitis Nasal obstruction
Present terminal, which detects a user, the symptom of nasal obstruction, then judge the method for user's illnesses type such as Under:
Calculate his probability with flu:
P (flu | nasal obstruction)=P (nasal obstruction | flu) * P (flu)/P (nasal obstruction)=1*0.33/0.5=0.66=66%
Calculate him and suffer from the probability of rhinitis:
P (rhinitis | nasal obstruction)=P (nasal obstruction | rhinitis) * P (rhinitis)/P (nasal obstruction)=1*0.17/0.5=0.34=34%
Because the probability with flu is more than the probability with rhinitis, therefore judge that the disease category that the user is suffered from is Flu, the rehabilitation suggestion on flu just can be so provided according to this:Drink water more, note warming and blowing etc..
Step S207, by the kinds of Diseases and rehabilitation suggestion output to user.The implementation of the step with it is upper The implementation of step S101 in one embodiment is identical, therefore, will not be repeated here.
Thus, it will be seen that a kind of methods for the diagnosis of diseases that the present embodiment is provided can equally make terminal according to user's Symptom judges the kinds of Diseases that user is suffered from, and provides the user corresponding rehabilitation suggestion, is easy to user's rehabilitation suggestion to adopt in time Take corresponding remedy measures to be saved oneself, that is, save user and go to hospital to register time of queuing, the state of an illness can also be avoided to enter one Step deteriorates.
Fig. 3 is a kind of schematic block diagram of terminal provided in an embodiment of the present invention, illustrate only for convenience of description with The related part of the present embodiment.
Shown in Figure 3, a kind of terminal 100 that the present embodiment is provided includes:
Illness data capture unit 11, the disease symptomses for obtaining user;
Medical diagnosis on disease unit 12, user is judged for the disease symptomses according to the user and the disease sample data prestored The kinds of Diseases suffered from, and the rehabilitation suggestion corresponding with the kinds of Diseases is obtained, wherein, the disease sample data include Disease name, disease symptomses and the rehabilitation suggestion of various diseases;
Diagnostic recommendations output unit 13, for the kinds of Diseases and rehabilitation suggestion to be exported to user.
Optionally, the illness data capture unit 11 includes:
Physiology information detecting unit 111, the physiological characteristic parameter for gathering the user is joined according to the physiological characteristic The disease symptomses of the number analysis user;Or,
Illness data input cell 112, the disease symptomses data for receiving user's input, according to the disease symptomses number According to the disease symptomses for obtaining the user.
Optionally, shown in Figure 4, in another embodiment, the terminal 100 also includes:
Disease name retrieval unit 14, the disease for obtaining various diseases from related retrieved web by disease crawlers Name of disease claims;
Disease symptomses retrieval unit 15, the disease for obtaining various diseases from related retrieved web by illness crawlers Disease symptoms;
Retrieval unit 16 is advised in rehabilitation, for obtaining various diseases according to from related retrieved web by rehabilitation crawlers Corresponding rehabilitation suggestion;
Sample data generation unit 17, disease name, disease symptomses and rehabilitation for setting up the various diseases are built Association between view, generates the disease sample data.
Optionally, the medical diagnosis on disease unit 12 includes:
Disease type judging unit 121, for by NB Algorithm according to the disease symptomses of the user and pre- The disease sample data deposited judge the disease type that user is suffered from.
Optionally, the disease type judging unit 121 includes:
Computing unit 1211, for passing through disease symptomses and the disease sample number of the leaf Bayes theorem according to the user According to calculating in the case of the disease symptomses for occurring the user, the probability that various diseases occur;
Comparing unit 1212, the size of the probability for comparing various diseases generation, the kinds of Diseases institute of maximum probability is right The disease name answered is the disease type that the user is suffered from.
It should be noted that the unit in above-mentioned terminal provided in an embodiment of the present invention, due to the inventive method Embodiment is based on same design, and its technique effect brought is identical with the inventive method embodiment, and particular content can be found in this hair Narration in bright embodiment of the method, here is omitted.
Thus, it will be seen that terminal provided in an embodiment of the present invention can equally judge user institute according to the symptom of user The kinds of Diseases of trouble, and corresponding rehabilitation suggestion is provided the user, it is easy to user's rehabilitation suggestion to take corresponding treatment to arrange in time Apply and saved oneself, that is, save user and go to hospital to register time of queuing, the state of an illness can also be avoided further to deteriorate.
It is a kind of terminal schematic block diagram that yet another embodiment of the invention is provided referring to Fig. 5.The present embodiment as shown in Figure 5 In terminal 100 can include:One or more processors 501;One or more input equipments 502, one or more outputs Equipment 503 and memory 504.Above-mentioned processor 501, input equipment 502, output equipment 503 and memory 504 pass through bus 505 connections.Memory 502 is used for store instruction, and processor 501 is used for the instruction for performing the storage of memory 502.
Wherein, the processor 501 is used for:
Obtain the disease symptomses of user;
Judge the kinds of Diseases that user is suffered from according to the disease symptomses of the user and the disease sample data prestored, and obtain The rehabilitation corresponding with the kinds of Diseases is taken to advise, wherein, disease name of the disease sample data including various diseases, Disease symptomses and rehabilitation suggestion;
By the kinds of Diseases and rehabilitation suggestion output to user.
Wherein, the processor 501 is additionally operable to:
The physiological characteristic parameter of the user is gathered, the disease disease of user according to the physiological characteristic Parameter analysis Shape;Or,
Receive the disease symptomses data of user's input, the disease disease of user according to the disease symptomses data acquisition Shape.
The processor 501 is additionally operable to:
The disease name of various diseases is obtained from related retrieved web by disease crawlers;
The disease symptomses of various diseases are obtained from related retrieved web by illness crawlers;
Advised by rehabilitation of the rehabilitation crawlers according to corresponding to obtaining various diseases from related retrieved web;
The association set up between disease name, disease symptomses and the rehabilitation suggestion of the various diseases, generates the disease Sick sample data.
The processor 501 is additionally operable to:
User is judged according to the disease symptomses of the user and the disease sample data prestored by NB Algorithm The disease type suffered from.
The processor 501 is additionally operable to:
Calculated by leaf Bayes theorem according to the disease symptomses of the user and the disease sample data described in occurring In the case of the disease symptomses of user, the probability that various diseases occur;
Compare the size of the probability of various diseases generation, the disease name corresponding to the kinds of Diseases of maximum probability is institute State the disease type that user is suffered from.
It should be appreciated that in embodiments of the present invention, alleged processor 501 can be CPU (Central Processing Unit, CPU), the processor can also be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other FPGAs Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at It can also be any conventional processor etc. to manage device.
Input equipment 502 can include Trackpad, fingerprint adopt sensor (finger print information that is used to gathering user and fingerprint Directional information), microphone etc., output equipment 503 can include display (LCD etc.), loudspeaker etc..
The memory 504 can include read-only storage and random access memory, and to processor 501 provide instruction and Data.The a part of of memory 504 can also include nonvolatile RAM.For example, memory 504 can also be deposited Store up the information of device type.
In the specific implementation, processor 501, input equipment 502, the output equipment 503 described in the embodiment of the present invention can The implementation described in the first embodiment and second embodiment of method provided in an embodiment of the present invention is performed, also be can perform The implementation of terminal described by the embodiment of the present invention, will not be repeated here.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein Member and algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware With the interchangeability of software, the composition and step of each example are generally described according to function in the above description.This A little functions are performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specially Industry technical staff can realize described function to each specific application using distinct methods, but this realization is not It is considered as beyond the scope of this invention.
It is apparent to those skilled in the art that, for convenience of description and succinctly, foregoing description terminal With the specific work process of unit, the corresponding process in preceding method embodiment is may be referred to, be will not be repeated here.
Step in present invention method can be sequentially adjusted, merged and deleted according to actual needs.
Unit in terminal of the embodiment of the present invention can be combined, divided and deleted according to actual needs.
, can be by other in several embodiments provided herein, it should be understood that disclosed terminal and method Mode realize.For example, device embodiment described above is only schematical, for example, the division of the unit, only For a kind of division of logic function, there can be other dividing mode when actually realizing, such as multiple units or component can be combined Or another system is desirably integrated into, or some features can be ignored, or do not perform.In addition, shown or discussed is mutual Between coupling or direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, device or unit Connect or electricity, mechanical or other forms connect.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple On NE.Some or all of unit therein can be selected to realize scheme of the embodiment of the present invention according to the actual needs Purpose.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also It is that unit is individually physically present or two or more units are integrated in a unit.It is above-mentioned integrated Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used When, it can be stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially The part contributed in other words to prior art, or all or part of the technical scheme can be in the form of software product Embody, the computer software product is stored in a storage medium, including some instructions are to cause a computer Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the invention Portion or part steps.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey The medium of sequence code.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any Those familiar with the art the invention discloses technical scope in, various equivalent modifications can be readily occurred in or replaced Change, these modifications or substitutions should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be with right It is required that protection domain be defined.

Claims (10)

1. a kind of methods for the diagnosis of diseases, it is characterised in that including:
Obtain the disease symptomses of user;
Judge the kinds of Diseases that user is suffered from according to the disease symptomses of the user and the disease sample data that prestore, and obtain and The corresponding rehabilitation suggestion of the kinds of Diseases, wherein, the disease sample data include the disease name of various diseases, disease Symptom and rehabilitation suggestion;
By the kinds of Diseases and rehabilitation suggestion output to user.
2. methods for the diagnosis of diseases as claimed in claim 1, it is characterised in that the disease symptomses of the acquisition user include:
The physiological characteristic parameter of the user is gathered, the disease symptomses of user according to the physiological characteristic Parameter analysis;Or Person,
Receive the disease symptomses data of user's input, the disease symptomses of user according to the disease symptomses data acquisition.
3. methods for the diagnosis of diseases as claimed in claim 1, it is characterised in that also wrapped before the disease symptomses of the acquisition user Include:
The disease name of various diseases is obtained from related retrieved web by disease crawlers;
The disease symptomses of various diseases are obtained from related retrieved web by illness crawlers;
Advised by rehabilitation of the rehabilitation crawlers according to corresponding to obtaining various diseases from related retrieved web;
The association set up between disease name, disease symptomses and the rehabilitation suggestion of the various diseases, generates the disease sample Notebook data.
4. methods for the diagnosis of diseases as claimed in claim 1, it is characterised in that disease symptomses according to the user and pre- The disease sample data deposited judge that the kinds of Diseases that user is suffered from include:
Judge that user is suffered from according to the disease symptomses of the user and the disease sample data prestored by NB Algorithm Disease type.
5. methods for the diagnosis of diseases as claimed in claim 4, it is characterised in that it is described by NB Algorithm according to described The disease symptomses of user and the disease sample data prestored judge that the disease type that user is suffered from includes:
Calculated by leaf Bayes theorem according to the disease symptomses of the user and the disease sample data and occurring the user Disease symptomses in the case of, various diseases occur probability;
Compare the size of the probability of various diseases generation, the disease name corresponding to the kinds of Diseases of maximum probability is the use The disease type that family is suffered from.
6. a kind of terminal, it is characterised in that including:
Illness data capture unit, the disease symptomses for obtaining user;
Medical diagnosis on disease unit, judges what user was suffered from for the disease symptomses according to the user and the disease sample data prestored Kinds of Diseases, and the rehabilitation suggestion corresponding with the kinds of Diseases is obtained, wherein, the disease sample data include all kinds of diseases Disease name, disease symptomses and the rehabilitation suggestion of disease;
Diagnostic recommendations output unit, for the kinds of Diseases and rehabilitation suggestion to be exported to user.
7. terminal as claimed in claim 6, it is characterised in that the illness data capture unit includes:
Physiology information detecting unit, the physiological characteristic parameter for gathering the user, according to the physiological characteristic Parameter analysis The disease symptomses of the user;Or,
Illness data input cell, the disease symptomses data for receiving user's input, according to the disease symptomses data acquisition The disease symptomses of the user.
8. terminal as claimed in claim 6, it is characterised in that also include:
Disease name retrieval unit, the disease name for obtaining various diseases from related retrieved web by disease crawlers Claim;
Disease symptomses retrieval unit, the disease disease for obtaining various diseases from related retrieved web by illness crawlers Shape;
Rehabilitation advise retrieval unit, for by rehabilitation crawlers according to from related retrieved web acquisition various diseases corresponding to Rehabilitation suggestion;
Sample data generation unit, for setting up between disease name, disease symptomses and the rehabilitation suggestion of the various diseases Association, generate the disease sample data.
9. terminal as claimed in claim 6, it is characterised in that the medical diagnosis on disease unit includes:
Disease type judging unit, for passing through disease symptomses and the disease that prestores of the NB Algorithm according to the user Sample data judges the disease type that user is suffered from.
10. terminal as claimed in claim 9, it is characterised in that the disease type judging unit includes:
Computing unit, for being calculated by leaf Bayes theorem according to the disease symptomses of the user and the disease sample data In the case of the disease symptomses for occurring the user, the probability that various diseases occur;
Comparing unit, the size of the probability for comparing various diseases generation, the disease corresponding to the kinds of Diseases of maximum probability Title is the disease type that the user is suffered from.
CN201710207401.8A 2017-03-30 2017-03-30 A kind of methods for the diagnosis of diseases and terminal Withdrawn CN107066818A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710207401.8A CN107066818A (en) 2017-03-30 2017-03-30 A kind of methods for the diagnosis of diseases and terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710207401.8A CN107066818A (en) 2017-03-30 2017-03-30 A kind of methods for the diagnosis of diseases and terminal

Publications (1)

Publication Number Publication Date
CN107066818A true CN107066818A (en) 2017-08-18

Family

ID=59601441

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710207401.8A Withdrawn CN107066818A (en) 2017-03-30 2017-03-30 A kind of methods for the diagnosis of diseases and terminal

Country Status (1)

Country Link
CN (1) CN107066818A (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108648822A (en) * 2018-05-03 2018-10-12 中国医学科学院肿瘤医院 A kind of esophageal cancer lymph is carried down the quantitative analysis results output method and device of shifting
CN108766566A (en) * 2018-04-11 2018-11-06 丽睿客信息科技(北京)有限公司 Physical condition autodiagnosis software and hardware system and its method prompted for behavior
CN108899085A (en) * 2018-04-11 2018-11-27 丽睿客信息科技(北京)有限公司 Physical condition autodiagnosis software and hardware system and its method adjusted for physical condition
CN109326352A (en) * 2018-10-26 2019-02-12 腾讯科技(深圳)有限公司 Disease forecasting method, apparatus, terminal and storage medium
CN109346171A (en) * 2018-10-31 2019-02-15 北京惠每云科技有限公司 A kind of aided diagnosis method, device and computer equipment
CN109545394A (en) * 2018-11-21 2019-03-29 上海依智医疗技术有限公司 A kind of way of inquisition and device
CN110853757A (en) * 2019-11-19 2020-02-28 孙家明 Disease diagnosis device and apparatus
CN111199796A (en) * 2019-12-31 2020-05-26 中国中医科学院中医药信息研究所 Disease aid decision-making method and device and electronic equipment
CN111276259A (en) * 2018-12-04 2020-06-12 阿里巴巴集团控股有限公司 Service determination, network interaction, classification method, client, server and medium
CN112562846A (en) * 2019-09-25 2021-03-26 中国联合网络通信集团有限公司 Animal disease diagnosis device
CN114287887A (en) * 2021-12-30 2022-04-08 新瑞鹏宠物医疗集团有限公司 Disease diagnosis method, disease diagnosis device, electronic apparatus, and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102841937A (en) * 2012-08-14 2012-12-26 苏州仁耀商务信息咨询有限公司 Health intelligent inquiring system
CN103049641A (en) * 2012-11-13 2013-04-17 张宝永 Medical guidance diagnosis display method and system
CN104102816A (en) * 2014-06-20 2014-10-15 周晋 Symptom match and machine learning-based automatic diagnosis system and method
CN105786385A (en) * 2016-02-29 2016-07-20 深圳康桥网络科技股份有限公司 Disease symptom detecting method and device based on human body image
CN106372439A (en) * 2016-09-21 2017-02-01 北京大学 Method for acquiring and processing disease symptoms and weight knowledge thereof based on case library

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102841937A (en) * 2012-08-14 2012-12-26 苏州仁耀商务信息咨询有限公司 Health intelligent inquiring system
CN103049641A (en) * 2012-11-13 2013-04-17 张宝永 Medical guidance diagnosis display method and system
CN104102816A (en) * 2014-06-20 2014-10-15 周晋 Symptom match and machine learning-based automatic diagnosis system and method
CN105786385A (en) * 2016-02-29 2016-07-20 深圳康桥网络科技股份有限公司 Disease symptom detecting method and device based on human body image
CN106372439A (en) * 2016-09-21 2017-02-01 北京大学 Method for acquiring and processing disease symptoms and weight knowledge thereof based on case library

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108766566A (en) * 2018-04-11 2018-11-06 丽睿客信息科技(北京)有限公司 Physical condition autodiagnosis software and hardware system and its method prompted for behavior
CN108899085A (en) * 2018-04-11 2018-11-27 丽睿客信息科技(北京)有限公司 Physical condition autodiagnosis software and hardware system and its method adjusted for physical condition
CN108899085B (en) * 2018-04-11 2021-08-31 特素生物科技(天津)有限公司 Body state self-diagnosis software and hardware system and method for adjusting body state
CN108648822A (en) * 2018-05-03 2018-10-12 中国医学科学院肿瘤医院 A kind of esophageal cancer lymph is carried down the quantitative analysis results output method and device of shifting
CN109326352A (en) * 2018-10-26 2019-02-12 腾讯科技(深圳)有限公司 Disease forecasting method, apparatus, terminal and storage medium
CN109346171A (en) * 2018-10-31 2019-02-15 北京惠每云科技有限公司 A kind of aided diagnosis method, device and computer equipment
CN109545394A (en) * 2018-11-21 2019-03-29 上海依智医疗技术有限公司 A kind of way of inquisition and device
CN111276259B (en) * 2018-12-04 2024-03-01 阿里巴巴集团控股有限公司 Service determination, network interaction, classification method, client, server and medium
CN111276259A (en) * 2018-12-04 2020-06-12 阿里巴巴集团控股有限公司 Service determination, network interaction, classification method, client, server and medium
CN112562846A (en) * 2019-09-25 2021-03-26 中国联合网络通信集团有限公司 Animal disease diagnosis device
CN110853757A (en) * 2019-11-19 2020-02-28 孙家明 Disease diagnosis device and apparatus
CN111199796A (en) * 2019-12-31 2020-05-26 中国中医科学院中医药信息研究所 Disease aid decision-making method and device and electronic equipment
CN114287887A (en) * 2021-12-30 2022-04-08 新瑞鹏宠物医疗集团有限公司 Disease diagnosis method, disease diagnosis device, electronic apparatus, and storage medium

Similar Documents

Publication Publication Date Title
CN107066818A (en) A kind of methods for the diagnosis of diseases and terminal
Jurgens et al. Psychometric analysis of the heart failure somatic perception scale as a measure of patient symptom perception
Baguley et al. Factor analysis of the tinnitus handicap inventory
US9613325B2 (en) Diagnosis-driven electronic charting
Lau et al. Best topic word selection for topic labelling
US9075796B2 (en) Text mining for large medical text datasets and corresponding medical text classification using informative feature selection
CN109698030A (en) For automatically generating for the interface of patient-supplier dialogue and notes or summary
White et al. Evaluation of the feasibility of screening patients for early signs of lung carcinoma in web search logs
CN107451388A (en) For the methods, devices and systems for automating medical diagnosis
CN108027823A (en) Information processor, information processing method and computer program
US20150379200A1 (en) Voice-assisted clinical note creation on a mobile device
WO2021135592A1 (en) Health data-based health report generation method and related device
Knowles et al. Uncertainty in current and future health wearables
WO2021159755A1 (en) Smart diagnosis and treatment data processing method, device, apparatus, and storage medium
Rosenbaum et al. Using the exterior match to compare two entwined matched control groups
TW201606690A (en) Nursing decision support system
CN110265099A (en) Method and apparatus for exporting case history
Albrecht et al. Distress in patients with acute leukemia: a concept analysis
CN112201350A (en) Intelligent triage method and device and electronic equipment
Meaney et al. Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada
Allen et al. Indirect identification of perinatal psychosocial risks from natural language
Lv et al. Psychosocial resources moderate the association between stress and insomnia among patients with digestive system cancers
JP7315165B2 (en) Diagnosis support system
Kim et al. How to construct a nomogram for hypertension using complex sampling data from Korean adults
US10431339B1 (en) Method and system for determining relevant patient information

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: 20170818

WW01 Invention patent application withdrawn after publication