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 PDFInfo
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- 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
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT 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
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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
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.
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