CN108836285A - The autonomous diagnostic model of human body diseases and artificial intelligence examination method and system and health evaluating visually demonstrate method - Google Patents
The autonomous diagnostic model of human body diseases and artificial intelligence examination method and system and health evaluating visually demonstrate method Download PDFInfo
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Abstract
The present invention relates to a kind of digitlization auxiliary tools suitable within the scope of medical treatment & health.The improvement of Gernral Check-up and demonstration is carried out in particular with three-dimensional (3 D) manikin.The invention proposes the autonomous diagnostic model of human body diseases, artificial intelligence examination method and system, health evaluating visually demonstrate method.The present invention is based on smart machines, the autonomous diagnostic model of human body diseases and artificial intelligence examination method and system are independently carried out by user and health evaluating visually demonstrates method, retrieval related disease and probability value can be analyzed by the human body physiological data of any input, keep calculated result more accurate rationally, Various types of data information is docked with digital three-dimensional manikin progress data simultaneously, it is loaded at the corresponding position of model, the prominent various data of maps presentation, it is intuitively showed on data processing equipment, it is professional too strong to solve medical domain, content abstraction, not intuitive enough problem.
Description
Technical field
The invention belongs to medical research, clinical consulation, assisting in diagnosis and treatment, health evaluating, college teaching, personal physical examinations, medical treatment
The technical fields such as instrument are related to a kind of digitlization auxiliary tool suitable within the scope of medical treatment & health.In particular with three-dimensional people
The improvement of body Model progress Gernral Check-up and demonstration.
Background technique
Most crowds do not have the knowledge in terms of self health status, body structure, health care in actual life
There is intuitive concept, it is insufficient for the cognition of the physiological data of itself, usually because medical knowledge is shallow, to self health status
Understand not enough, misses many treatment optimal periods；And because of the differences such as medical knowledge, educational level, region language between doctors and patients
Communication disorders is caused, therapeutic effect is affected.3-dimensional digital manikin is the concept that the present invention proposes in earlier application,
Three-dimensional (3 D) manikin is established on data processing equipment using electronic data to visually demonstrate, and is solved the problems, such as in medical teaching.
Carrying out disease retrieval analysis using digital three-dimensional manikin is the concept (title proposed in my earlier application：
Digital human body structure dissection method and digital human body anatomy and pathological analysis method and system, application number：
201310308738.X), the present invention is to carry out the side of health evaluating and demonstration using digital three-dimensional manikin to earlier application
It method and is improved with the depth of system.
Summary of the invention
It is an object of the present invention to provide one kind to be based on smart machine, and the autonomous diagnostic model of human body diseases is independently carried out by user
Method is visually demonstrated with artificial intelligence examination method and system and health evaluating, the human body physiological data of any input can be passed through
Related disease and probability value are retrieved to analyze, keeps calculated result more accurate rationally, while Various types of data information and digital three-dimensional
Manikin carries out data docking, loads at the corresponding position of model, the prominent various data of maps presentation, in data processing equipment
Upper intuitive performance, with solve medical domain professional too strong, content abstraction, not intuitive enough problem.
Specifically, the present invention includes：
1, the autonomous diagnostic model of human body diseases is to establish in accordance with the following steps：
(1) healthy data information model is established：Integrate human skin, muscle, bone, organ, tissue, system, cave
The normal index of the human body physiological data at all positions in position and normal index section are stored in database；
(2) human disease information database is established：Integrate all human body disease datas, including but not limited to each disease
The data such as title, cause of disease pathogeny, pathogenesis, the complication of disease are stored in database；
(3) human body diseases property data base is established：Integrate the genius morbi data of all human bodies, including but not limited to disease
Shape, sign, pathology, inspection, film making, data are stored in database；
(4) specified disease feature diagnosis weight assigns：By disease corresponding to each disease of human body described in step (3)
Characteristic forms genius morbi data group, assigns diagnosis weight to each genius morbi in genius morbi data group；It is described
Diagnosis weight refers to that a certain genius morbi data can make a definite diagnosis the relative importance of certain specified disease；
(5) disease logical algorithm model is constructed：Genius morbi data group, disease according to corresponding to each disease and its
Corresponding relationship between characteristic constructs respectively independent phase again with digitizing technique in conjunction with pathogenesis and clinical manifestation
The disease logical algorithm model mutually to interweave；The disease logical algorithm model refers to：Based on existing medical knowledge and experience, simulation
Medical worker is by collecting the genius morbi of patient, in conjunction with pathogenesis and clinical manifestation, method for inferring disease, by this
A deduction process is configured to one kind can be by the algorithm model of Computing reasoning.
It 2, is to realize in accordance with the following steps using the method for the model realization artificial intelligence physical examination：
(1) specific human body physiological data is acquired by sensor or manual input-mode, collected specific human body is raw
Reason data are input to data processor, by data processor by the human body physiological data of acquisition and healthy data information mould
Corresponding comparing in type, when data are not different from normal index or within normal index section, when belonging to abnormal data,
Follow disease logical algorithm model immediately and carry out operation, genius morbi data in intelligent Matching human body diseases property data base and
The diagnosis weight of genius morbi data group and corresponding disease where it, genius morbi data is added, and culvert is set out in retrieval
Suspected disease corresponding to the genius morbi data group of this genius morbi data is covered, probability value is provided；
(2) it is directed to human body individual difference additional corrections coefficient, including but not limited to：Race, region, country, family, season
Section, environment, weather, time, gender, age, occupation, social activity, habit, constitution have been retrieved by correction factor amendment
Disease data；
(3) when retrieving certain suspected disease, abnormality warnings are issued, and export diagnose the illness type or title and be suitble to should
The health care of specific human body, treatment recommendations.
The method further includes：Inverse operation can be carried out to the suspected disease that retrieval is set out, predict that the suspected disease can
Probability and the output of the genius morbi data or other suspected diseases that can cause.
The method makes weight optimization algorithm also for the specific combination of part genius morbi data, improves or drop
Low weight.The weight optimization algorithm refers to：The specific combination of part genius morbi data is the classical symptom of certain specified disease,
Occur to make a definite diagnosis substantially simultaneously, the numerical value for making a definite diagnosis weight when should be greater than these genius morbi data are scattered independently to occur,
Therefore weight optimization is made, weight is improved.In embodiment 6-E, the 3. symptom of extrahepatic biliary stone, medically known as
Charcot tri- is levied, and can be made a definite diagnosis substantially when these symptoms occur simultaneously.
The method also stores collected specific human body physiological data according to timing node one by one, and user can be with
The data for extracting the storage of any one timing node carry out Nodes Retrieval analysis, or extract the number of any one time interval storage
According to progress section retrieval analysis.
The method can prompt user to the secondary completion of genius morbi after retrieving suspected disease.
3, the artificial intelligence Physical Examination System of the method is realized comprising：
(1) operation and storage facilities：For running this system and storage related data, and include at least following one：A is more
Media server；B photo sound output equipment；
(2) user's calling or input unit and output device；And user calls or input unit and output device and operation
And storage facilities electrical connection.
Further, the artificial intelligence Physical Examination System comprising：
(1) number three for being built into the skin of human body, muscle, bone, organ, tissue, system, all position data in acupuncture point
Tie up manikin；And the model carries out data with the autonomous diagnostic model of the human body diseases and docks, and diagnoses human body diseases independently
The region of interest of data and digital three-dimensional manikin in model corresponds, and framework provides standby Human Physiology logic function
Artificial intelligence digital human body；
(2) operation and storage facilities include at least following one for running this system and storage related data：The more matchmakers of A
Body server；B photo sound output equipment；
(3) user's calling or input unit and output device；And user calls or input unit and output device and number
Three-dimensional (3 D) manikin, operation and storage facilities electrical connection.
4, human health is carried out using the system and assess ocular demonstration method, be to realize in accordance with the following steps：
(1) it acquires specific human body physiological data or specific symptoms is manually entered on the input；And in digital three-dimensional people
Corresponding position loads on body Model, prominent maps presentation；
(2) system diagnoses and exports kinds of Diseases or title by the autonomous diagnostic model of human body diseases and is suitble to the particular person
The health care of body, treatment recommendations；And the suspected disease being set out and its physical feeling influenced and all kinds of dependency numbers will be retrieved
According on digital three-dimensional manikin corresponding position load, prominent maps presentation.
Further, the method, by collected specific human body physiological data, including but not limited to threedimensional model, shadow
The data set of the diversified forms such as picture, picture, text, sound loads at the corresponding position of digital three-dimensional manikin, and protrusion is reflected
Penetrate demonstration；Can also include by the suspected disease retrieved and its physical feeling influenced and all kinds of related datas, the data
But it is not limited to the data set of the diversified forms such as threedimensional model, image, picture, text, sound, by the data set in digital three-dimensional people
The corresponding position of body Model loads, and prominent maps presentation simultaneously gives a warning；And 360 degree of rotations can be achieved in the above Various types of data
Turn, scaling, dismantling, transparent, measurement, single choice, final election, frame choosing, whole observation, it is local observe, color changes etc., and human-computer interactions are grasped
Make, and receives voice command control.
The method, step (1) acquire in specific human body physiological data step, can be by directly clicking digital three-dimensional people
The region of interest of body Model loads one or more genius morbi data, participates in disease logical algorithm model and carries out operation,
It can be one or more genius morbi data to be directly loaded into the phase of digital three-dimensional manikin by way of touching dragging
Position is closed, disease logical algorithm model is participated in and carries out operation.
The method, step (1) is described to be manually entered including but not limited to：Click, touch, by, leave, slide, drag
It drags, the input of body language, keyboard, handwriting input, option input, dialog box input, check box input.
The method, output equipment are following any one or combinations thereof：(1) photo sound output equipment：By audio-visual defeated
Equipment exports display system content out；The photo sound output equipment is computer, mobile phone, smartwatch, tablet computer, display
Device, touch screen, projector, hologram instrument, Portable intelligent terminal, wearable intelligent terminal, VR virtual reality device, AR increase
Any one or more combinations in strong real world devices, MR mixed reality equipment；(2) text importing or output equipment；
Input equipment is following any or combination but is not limited to following a kind of or combination：Keyboard or mouse are hand-written
Or click class input equipment；Hologram instrument controller；Voice-input device；Human-computer interaction device；VR virtual reality controller；
AR augmented reality controller；MR mixed reality controller；Touch screen；The display screen of dialog box can be popped up；It can identify user's limb
The camera shooting of body language or photographic equipment；Brain-machine interaction equipment.
The method, input and output device support all kinds of wired, wireless network transmissions and remote operation.
In the present invention, the human body physiological data and genius morbi data include but is not limited to：Body temperature, heart rate, blood pressure, blood
Sugar, blood oxygen, electrocardiogram, electroencephalogram, respiratory rate, physical consumption, pain index, specific human physiological structure's hologram, number
Word imaging, 3-D supersonic imaging, four-dimensional information, clinical manifestation, analysis data, film making data, treatment method or specific human body electricity
Sub- case history.
Heretofore described human body physiological data acquires sensor：Intelligent wearable device, portable sensor, hand
The sensing equipments such as machine, smartwatch, computer, tablet computer and HIS, CIS, LIS, EMR, PACS, RIS, CAD etc. meet
Any one or more combinations in the medical information system of dicom standard.
The present invention is by establishing Human Physiology logical model, disease logical algorithm model, and acquisition operation and etc., it is right
Human body physiological data carries out accurate Analysis, and loads at digital three-dimensional manikin contraposition position, and prominent maps presentation is deepened
The degree of awareness of the user to self health, solves the communication disorders between doctors and patients, further shorten doctors and patients it
Between information gap, effectively increase ordinary user to the degree of awareness of medical information, general patient made to become the ginseng of medical procedure
With person.Suitable for fields such as medical research, clinical consulation, assisting in diagnosis and treatment, health evaluating, college teaching, personal physical examinations.The present invention
The application first compared with me has apparent technological improvement, establishes Human Physiology logical base, joined artificial intelligence searching algorithm,
It is imparted to each genius morbi in genius morbi data group and makes a definite diagnosis weight, construct disease logical algorithm model, Neng Goutong
The human body physiological data of any input is crossed to analyze the probability value of retrieval related disease, keeps calculated result more accurate rationally, and
It is carried out data with digital three-dimensional manikin to dock, adds data at the corresponding position of digital three-dimensional manikin
It carries, prominent maps presentation.
Especially the present invention establishes Human Physiology logical base, assigns to each genius morbi in genius morbi data group
Weight is made a definite diagnosis, disease logical algorithm model is constructed, retrieval phase can be analyzed by the human body physiological data of any input
Related disorders and probability value keep calculated result more accurate rationally, while Various types of data information and digital three-dimensional manikin carry out
Data docking loads at the corresponding position of model, and the prominent various data of maps presentation intuitively show on data processing equipment,
It is professional too strong to solve medical domain, content abstraction, not intuitive enough problem.Further shorten information gap between doctors and patients
Away from, ordinary user is effectively increased to the degree of awareness of medical information, and general patient is made to become the participant of medical procedure, it is heavier
What is wanted is that it can effectively solve the unbalanced problem of medical resource, realizes accurate tele-medicine, asynchronous treatment, intelligent medical treatment, together
When positive impetus is also also played to the fast development of medical research.
Detailed description of the invention
Fig. 1 is that the present invention carries out human health assessment and visually demonstrates working principle diagram.
Fig. 2 is Physical Examination System composition schematic diagram of the present invention (visually demonstrating system remote scheme).
Fig. 3 is Physical Examination System composition schematic diagram of the present invention (visually demonstrating system independent alternative).
Fig. 4 is Physical Examination System composition schematic diagram of the present invention (long-range scheme).
Fig. 5 is Physical Examination System composition schematic diagram (independent alternative) of the present invention.
Specific embodiment
Embodiment 1：
1, healthy data information model is established, normal index and the normal index area of all human body physiological datas are integrated
Between be stored in database.By 36-37 DEG C of body temperature, heart rate 60-100 times/per minute, blood pressure 90mmHg<Systolic pressure<140mmHg,
60mmHg<Diastolic pressure<90mmHg, normal lung medical image, normal gastroscope medical image, normal heart 3-D supersonic imaging,
Normal vital signs, no malaise symptoms ... wait the normal index and normal index section deposit database of human body physiological datas；
2, human disease information database is established, all human body disease datas, title, disease including each disease are integrated
Because the data such as pathogeny, pathogenesis, complication are stored in database.By pneumonia, gastritis, extrahepatic biliary stone, hypertension, hypertrophic
Cardiomyopathy, fatty liver ... wait all data deposit numbers of the title of each disease of human bodies, cause of disease pathogeny, pathogenesis, complication
According to library；
3, establish human body diseases property data base, integrate all human bodies genius morbi data (including but not limited to symptom,
Sign, pathology, inspection, film making, data) deposit database.Body temperature is lower than lower than 35.9 DEG C, body temperature higher than 37.1 DEG C, heart rate
60 times/per minute, heart rate is higher than 100 times/per minute, blood pressure 90mmHg>Systolic pressure>140mmHg,60mmHg>Diastolic pressure>
90mmHg, lung lesions medical image, lesion gastroscope medical image, diseased heart 3-D supersonic imaging, abnormal vital signs, cough
It coughs, dizzy, headache, pectoralgia is uncomfortable in chest, shortness of breath, and nausea is vomitted, and shiver with cold, abdominal pain, palpitaition is out of strength, jaundice, itch, arrhythmia cordis,
The genius morbi data of loss of appetite, all human bodies such as expiratory dyspnea are stored in database；
4, specified disease feature diagnosis weight assigns：By disease corresponding to each disease of human body described in step (3)
Characteristic forms genius morbi data group, assigns diagnosis weight to each genius morbi in genius morbi data group；It is described
Diagnosis weight refers to that a certain genius morbi data can make a definite diagnosis the relative importance of certain specified disease；
Genius morbi data corresponding to A pneumonia mainly have：Body temperature is higher than 37.1 DEG C, shivers with cold, cough, lung lesions medicine
Image, heart rate be higher than 100 times/per minute, pectoralgia is uncomfortable in chest, nausea, vomiting, by the above genius morbi data form genius morbi
Data group is assigned according to the relative importance that each genius morbi data in the genius morbi data group can make a definite diagnosis pneumonia
Weight is as follows：It is 7% that body temperature, which is higher than 37.1 DEG C, and shivering with cold is 4%, and coughing is 8%, and lung lesions medical image is 62%, heart rate
Higher than 100 times/per minute be 6%, pectoralgia 9%, uncomfortable in chest is 2%, nausea be 1%, vomitting is 1%；
The corresponding genius morbi data of B gastritis mainly have：Abdominal pain, nausea, vomiting, loss of appetite, lesion gastroscope medicine shadow
The above genius morbi data are formed genius morbi data group, according to each genius morbi in the genius morbi data group by picture
It is as follows that the relative importance that data can make a definite diagnosis gastritis assigns weight：Abdominal pain is 11%, and nausea is 9%, and vomitting is 8%, food
It is intended to depressed be 6%, lesion gastroscope medical image is 66%；
The corresponding genius morbi data of C extrahepatic biliary stone mainly have：Abdominal pain, nausea are vomitted, and shiver with cold, body temperature is higher than
The above genius morbi data are formed genius morbi data group, according to each in the genius morbi data group by 37.1 DEG C, jaundice
It is as follows that the relative importance that genius morbi data can make a definite diagnosis extrahepatic biliary stone assigns weight：Abdominal pain is 18%, and nausea is
9%, vomitting is 6%, and shivering with cold is 17%, and it is 11% that body temperature, which is higher than 37.1 DEG C, jaundice 39%；When abdominal pain, body temperature are higher than 37.1
DEG C, shiver with cold, this specified disease characteristic of jaundice be combined into current, system makes weight optimization algorithm, extrahepatic bile ducts knot
Stone makes a definite diagnosis probability and improves 10%.
The corresponding genius morbi data of D hypertension mainly have：Dizziness, headache, palpitaition is uncomfortable in chest, shortness of breath, systolic pressure>
140mmHg and (or) diastolic pressure>The above genius morbi data are formed genius morbi data group by 90mmHg, according to disease spy
It is as follows that the relative importance that each genius morbi data is capable of Definite Hypertension in sign data group assigns weight：Dizziness is
6%, having a headache is 3%, and palpitaition 7%, uncomfortable in chest is 8%, shortness of breath 4%, systolic pressure>140mmHg and (or) diastolic pressure>90mmHg
It is 72%；
The corresponding genius morbi data of E hypertrophic cardiomyopathy mainly have：Expiratory dyspnea, arrhythmia cordis is out of strength, pectoralgia, disease
Cease to be faithful dirty 3-D supersonic imaging, the above genius morbi data is formed into genius morbi data group, according to the genius morbi data group
In each genius morbi data can make a definite diagnosis hypertrophic cardiomyopathy relative importance assign weight it is as follows：Expiratory dyspnea is
11%, arrhythmia cordis 9%, out of strength is 11%, pectoralgia 8%, and diseased heart 3-D supersonic imaging is 61%.
F……
5, the genius morbi data group according to each of the above disease and corresponding to it, the correspondence between genius morbi data
Relationship constructs disease logic that is respectively independent and being interweaved with digitizing technique and calculates in conjunction with pathogenesis and clinical manifestation
Method model.The disease logical algorithm model refers to：Based on existing medical knowledge and experience, medical worker is by collecting patient's
Genius morbi, in conjunction with pathogenesis and clinical manifestation, this deduction process is configured to one kind by method for inferring disease
Algorithm model.
6, system is by collected specific human body physiological data (by sensor or being manually entered), with healthy data
Corresponding comparing in information model belongs to exception when data are not different from normal index or within normal index section
When data, disease logical algorithm model is followed immediately and carries out operation, the disease in intelligent Matching human body diseases property data base is special
The genius morbi data group and corresponding disease at data and its place are levied, genius morbi data weighting is added, and retrieval is set out
Cover suspected disease corresponding to the genius morbi data group of this genius morbi, and provides probability value；
A system by body temperature on smartwatch and heart rate sensor collect 38 DEG C of user's body temperature, heart rate 108 times/
The two data per minute, " 36-37 DEG C of body temperature " corresponding with healthy data information model, " heart rate 60-
100 times/per minute " comparing, obtain body temperature higher than 37.1 DEG C, heart rate be higher than 100 times/it is per minute as a result, the two are counted
According to not within normal index section, abnormal data is belonged to, follow immediately disease logical algorithm model carry out operation, intelligent
The genius morbi data being fitted in human body diseases property data base,Obtain occlusion body in the genius morbi data group of corresponding pneumonia
Temperature be higher than 37.1 DEG C, heart rate be higher than 100 times/per minute the two genius morbi data, weight be respectively " body temperature be higher than 37.1 DEG C
Be 7%, heart rate be higher than 100 times/per minute be 6% "；Obtain include in the genius morbi data group of corresponding extrahepatic biliary stone
Body temperature is higher than 37.1 DEG C of this genius morbi data, and weight is " it is 11% that body temperature, which is higher than 37.1 DEG C, ", by genius morbi data
Weight is added, and suspected disease is set out in retrieval：1. pneumonia 13%；2. extrahepatic biliary stone 11%.
B user is by being manually entered 37.8 DEG C of body temperature, and cough, pectoralgia is uncomfortable in chest, and nausea vomits these data, with human body
" 36-37 DEG C of body temperature " corresponding in health data information model, " no malaise symptoms " comparing, obtains body temperature and is higher than
37.1 DEG C of result；Cough, pectoralgia is uncomfortable in chest, and nausea vomits this these data sheet as genius morbi data, belongs to exception
Data follow disease logical algorithm model immediately and carry out operation, and intelligent Matching is special to the disease in human body diseases property data base
Levy data,It obtains being higher than 37.1 DEG C comprising body temperature in the genius morbi data group of corresponding pneumonia, cough, pectoralgia is uncomfortable in chest, dislikes
The heart, vomits these genius morbi data, weight be respectively " it is 7% that body temperature, which is higher than 37.1 DEG C, and coughing is 8%, pectoralgia 9%,
Uncomfortable in chest is 2%, and nausea is 1%, and vomitting is 1% "；It obtains in the genius morbi data group of corresponding gastritis comprising nausea, vomiting
These genius morbi data, weight are respectively that " nausea is 9%, and vomitting is 8% "；Obtain the disease of corresponding extrahepatic biliary stone
Comprising nausea in sick characteristic group, vomiting, for body temperature higher than 37.1 DEG C of these genius morbi data, weight is respectively " nausea
It is 9%, vomitting is 6%, and it is 11% " that body temperature, which is higher than 37.1 DEG C,；Obtain include in the genius morbi data group of corresponding hypertension
This genius morbi data uncomfortable in chest, weight are " uncomfortable in chest is 8% "；Obtain the genius morbi data group of corresponding hypertrophic cardiomyopathy
In include this genius morbi data of pectoralgia, weight be " pectoralgia 8% ", genius morbi data weighting is added, retrieval is enumerated
Suspected disease out：1. pneumonia 28%；2. gastritis 17%；3. extrahepatic biliary stone 24%；4. hypertension 8%；5. hypertrophic is myocardium
Disease 8%.
C system collects lung lesions medical image by medical image sensor, collects body by body temperature transducer
38.8 DEG C of temperature, by being manually entered shiver with cold, cough, pectoralgia, loss of appetite is out of strength, these data of having difficulty in breathing, with human health
" normal lung medical image " corresponding in data information model, " 36-37 DEG C of body temperature ", " no malaise symptoms " data ratio
It is right, lung lesions medical image is obtained, body temperature is higher than 37.1 DEG C of result；Shiver with cold, cough, pectoralgia, loss of appetite is out of strength, exhales
These difficult data sheets are inhaled as genius morbi data, belong to abnormal data, follow the progress of disease logical algorithm model immediately
Operation, intelligent Matching to the genius morbi data in human body diseases property data base,Obtain the genius morbi number of corresponding pneumonia
According to including lung lesions medical image in group, body temperature is higher than 37.1 DEG C；Shiver with cold, cough, these genius morbi data of pectoralgia, power
It is again respectively that " it is 7% that body temperature, which is higher than 37.1 DEG C, and shivering with cold is 4%, and coughing is 8%, and lung lesions medical image is 62%, pectoralgia
It is 9% "；It obtains comprising this genius morbi data of loss of appetite in the genius morbi data group of corresponding gastritis, weight is " food
It is intended to depressed be 6% "；It obtains being higher than 37.1 DEG C comprising body temperature in the genius morbi data group of corresponding extrahepatic biliary stone；Shiver with cold
These genius morbi data, weight are respectively that " it is 11% that body temperature, which is higher than 37.1 DEG C, and shivering with cold is 17% "；Obtain corresponding plumpness
Comprising expiratory dyspnea in the genius morbi data group of type cardiomyopathy, pectoralgia, these genius morbi data out of strength, weight is respectively
" expiratory dyspnea is 11%, and pectoralgia 8%, out of strength is 11% ", and genius morbi data weighting is added, and doubtful disease is set out in retrieval
Disease：1. pneumonia 90%；2. gastritis 6%；3. extrahepatic biliary stone 28%；4. hypertrophic cardiomyopathy 30%.
D system collects diseased heart 3-D supersonic imaging by 3-D supersonic imaging sensor, weary by being manually entered
Power, these data of pectoralgia, " normal heart 3-D supersonic imaging " corresponding with healthy data information model, " invariably
Suitable symptom " comparing, obtains the result of diseased heart 3-D supersonic imaging；Out of strength, these data sheets of pectoralgia are as disease spy
Data are levied, abnormal data is belonged to, disease logical algorithm model is followed immediately and carries out operation, intelligent Matching to human body diseases feature
Genius morbi data in database,It obtains in the genius morbi data group of corresponding pneumonia comprising this genius morbi number of pectoralgia
According to weight is " pectoralgia 9% "；It obtains three-dimensional comprising diseased heart in the genius morbi data group of corresponding hypertrophic cardiomyopathy
Ultrasonic imaging, out of strength, these genius morbi data of pectoralgia, weight are respectively that " out of strength is 11%, pectoralgia 8%, diseased heart
3-D supersonic imaging is 61% ", and genius morbi data weighting is added, and suspected disease is set out in retrieval：1. pneumonia 9%；2. fertilizer
Thicker cardiomyopathy 80%.
E user by being manually entered 39.1 DEG C of body temperature, shiver with cold by abdominal pain, these data of jaundice are believed with healthy data
Corresponding " 36-37 DEG C of body temperature ", " no malaise symptoms " comparing in model are ceased, the knot that body temperature is higher than 37.1 DEG C is obtained
Fruit；Abdominal pain, shiver with cold, these data sheets of jaundice belong to abnormal data as genius morbi data, follow the calculation of disease logic immediately
The progress operation of method model, intelligent Matching to the genius morbi data in human body diseases property data base,Obtain corresponding pneumonia
It is higher than 37.1 DEG C comprising body temperature in genius morbi data group, these genius morbi data of shivering with cold, weight is respectively that " body temperature is higher than
37.1 DEG C are 7%, and shivering with cold is 4% "；It obtains in the genius morbi data group of corresponding gastritis comprising this genius morbi number of abdominal pain
According to weight is " abdominal pain 11% "；It obtains being higher than in the genius morbi data group of corresponding extrahepatic biliary stone comprising body temperature
37.1℃；Abdominal pain, shiver with cold, these genius morbi data of jaundice, weight are respectively that " abdominal pain 18%, shivering with cold is 17%, body temperature
It is 11% higher than 37.1 DEG C, genius morbi data weighting is added by jaundice 39% ", and suspected disease is set out in retrieval：1. pneumonia
11%；2. gastritis 11%；3. extrahepatic biliary stone 85%, at this point, when abdominal pain, body temperature are higher than 37.1 DEG C, shiver with cold, this disease of jaundice
The specific combination of sick characteristic occurs, and medically referred to as Charcot tri- is levied, and refers to abdominal pain, shiver with cold high fever, Huang occur
Subcutaneous ulcer is the classical symptom of the secondary cholangitis of extrahepatic biliary stone, can make a definite diagnosis and (split shiver with cold fervescence in the present invention substantially
Come, meaning is constant), so system makes weight optimization algorithm, extrahepatic biliary stone makes a definite diagnosis probability and improves 10%, is optimized for
95%.
F system vomits the abdominal pain in specific human body electronic health record, nausea, these data of loss of appetite, with human health
" no malaise symptoms " comparing corresponding in data information model, abdominal pain, nausea, vomiting, these data sheets of loss of appetite
As genius morbi data, abnormal data is belonged to, disease logical algorithm model is followed immediately and carries out operation, intelligent Matching to people
Genius morbi data in body genius morbi database,It obtains vomitting in the genius morbi data group of corresponding pneumonia comprising nausea
These genius morbi data are spat, weight is respectively that " nausea is 1%, and vomitting is 1% "；Obtain the genius morbi number of corresponding gastritis
According to including abdominal pain in group, nausea, vomiting, these genius morbi data of loss of appetite, weight is respectively that " abdominal pain 11% is disliked
The heart is 9%, and vomitting is 8%, and genius morbi data weighting is added by loss of appetite 6% ", and suspected disease is set out in retrieval：①
Pneumonia 2%；2. gastritis 34%.
G system collects 70 36.5 DEG C of body temperature, heart rate/per minute, cough, dizzy, head by Human Physiology sensor
These data bitterly, " 36-37 DEG C of body temperature " corresponding with healthy data information model, " heart rate 60-100 times/every
Minute ", " no malaise symptoms " comparing, obtain 36.5 DEG C of body temperature, heart rate 70 times/per minute in normal index section, output
Normally, operation terminates；Cough, dizzy, these data sheets of having a headache belong to abnormal data, abide by immediately as genius morbi data
Follow disease logical algorithm model carry out operation, intelligent Matching to the genius morbi data in human body diseases property data base,?
Into the genius morbi data group of corresponding pneumonia comprising this genius morbi data of coughing, weight is " cough is 8% "；It obtains
Comprising dizziness in the genius morbi data group of corresponding hypertension, these genius morbi data of having a headache, weight is respectively that " dizziness is
6%, having a headache is 3% ", and genius morbi data weighting is added, and suspected disease is set out in retrieval：1. pneumonia 8%；2. hypertension
9%.
7, it is directed to human body individual difference additional corrections coefficient, including but not limited to：Race, region, country, family, season,
Environment, weather, time, gender, age, occupation, social activity, habit, constitution correct the disease retrieved by correction factor
Data；Such as in embodiment paragraph 6-B, suspected disease 1. pneumonia 28% is set out in retrieval, if the patient has the habit of smoking,
Correction factor improves 5% to the probability of pneumonia, finally obtains 1. pneumonia 33%；In embodiment paragraph 6-B, retrieval is set out doubtful
Disease 4. hypertension 8%, if the patient age is larger, correction factor improves 4% to the probability of hypertension, finally obtains 4. high
Blood pressure 12%；Suspected disease 2. hypertrophic cardiomyopathy 80% is set out in retrieval in embodiment paragraph 6-D, if the patient has family
Genetic history, correction factor improve 10% to the probability of hypertrophic cardiomyopathy, finally obtain 2. hypertrophic cardiomyopathy 90%.Amendment system
Several individual difference amendment and so on.
8, when retrieving certain suspected disease, abnormality warnings are issued, and export diagnose the illness type or title and be suitble to should
The health care of specific human body, treatment recommendations.
9, inverse operation can be carried out to the suspected disease that retrieval is set out, predicts that the disease that the suspected disease may cause is special
Levy data or probability and the output of other suspected diseases.
10, weight optimization algorithm is made for the specific combination of part genius morbi data, increases or decreases weight；It is described
Weight optimization algorithm refers to：The specific combination of part genius morbi data is the classical symptom of certain specified disease, while base occurs
Originally it can make a definite diagnosis, the numerical value for making a definite diagnosis weight when should be greater than these genius morbi data are scattered independently to occur, therefore make power
Re-optimization improves weight.In as shown：The power of genius morbi data 2 and genius morbi data 5 in certain genius morbi data group
Again it is respectively 8% and 20%, but can has to the disease is caused when genius morbi data 2 and genius morbi data 5 occur simultaneously
Significant impact, system make appropriate promotion to weight；In embodiment 6-E, 3. extrahepatic biliary stone 85%, at this point, when abdominal pain,
Body temperature is higher than 37.1 DEG C, shiver with cold, the specific combination appearance of this genius morbi data of jaundice, medically referred to as Charcot tri-
Connection sign refers to abdominal pain, shiver with cold high fever, jaundice occur, is the classical symptom of the secondary cholangitis of extrahepatic biliary stone, substantially can be true
It examines, system makes weight optimization algorithm, and extrahepatic biliary stone makes a definite diagnosis probability and improves 10%, is optimized for 95%.
11, after system retrieval goes out suspected disease, user can be prompted to the secondary completion of genius morbi.Such as：System retrieval
Certain suspected disease probability is 56% out, and user can be prompted either with or without the other diseases characteristic of the disease, if so, that
It secondary can add the genius morbi data omitted and adjust suspected disease probability.
12, collected specific human body physiological data is stored one by one according to timing node, user can extract arbitrarily
The data of one timing node storage carry out Nodes Retrieval analysis, or extract the data progress area of any one time interval storage
Between retrieval analysis.
13, the artificial intelligence Physical Examination System of the method is realized comprising：
(1) operation and storage facilities：For running this system and storage related data, and include at least following one：A is more
Media server；B photo sound output equipment；
(2) user's calling or input unit and output device；And user calls or input unit and output device and operation
And storage facilities electrical connection.
14, further, described artificial intelligence Physical Examination System comprising：
(1) number three for being built into the skin of human body, muscle, bone, organ, tissue, system, all position data in acupuncture point
Tie up manikin；And the model carries out data with the autonomous diagnostic model of the human body diseases and docks, and diagnoses human body diseases independently
The region of interest of data and digital three-dimensional manikin in model corresponds, and framework provides standby Human Physiology logic function
Artificial intelligence digital human body；
(2) operation and storage facilities include at least following one for running this system and storage related data：The more matchmakers of A
Body server；B photo sound output equipment；
(3) user's calling or input unit and output device；And user calls or input unit and output device and number
Three-dimensional (3 D) manikin, operation and storage facilities electrical connection.
15, human health is carried out using the system and assess ocular demonstration method, be to realize in accordance with the following steps：
(1) it acquires specific human body physiological data or specific symptoms is manually entered on the input；And in digital three-dimensional people
Corresponding position loads on body Model, prominent maps presentation；
(2) system diagnoses and exports kinds of Diseases or title by the autonomous diagnostic model of human body diseases and is suitble to the particular person
The health care of body, treatment recommendations；And the suspected disease being set out and its physical feeling influenced and all kinds of dependency numbers will be retrieved
According on digital three-dimensional manikin corresponding position load, prominent maps presentation.
16, further, the method, by collected specific human body physiological data, including but not limited to threedimensional model,
The data set of the diversified forms such as image, picture, text, sound loads at the corresponding position of digital three-dimensional manikin, prominent
Maps presentation；It can also be by the suspected disease retrieved and its physical feeling influenced and all kinds of related datas, the data packet
The data set for containing but being not limited to the diversified forms such as threedimensional model, image, picture, text, sound, by the data set in digital three-dimensional
The corresponding position of manikin loads, and prominent maps presentation simultaneously gives a warning；And 360 degree of rotations can be achieved in the above Various types of data
Turn, scaling, dismantling, transparent, measurement, single choice, final election, frame choosing, whole observation, it is local observe, color changes etc., and human-computer interactions are grasped
Make, and receives voice command control.
17, the method, step (1) acquire in specific human body physiological data step, can be by directly clicking number three
The region of interest of manikin is tieed up to load one or more genius morbi data, disease logical algorithm model is participated in and is transported
It calculates, it can also be one or more genius morbi data be directly loaded into digital three-dimensional manikin by way of touching dragging
Region of interest, participate in disease logical algorithm model carry out operation.
18, the method, step (1) is described to be manually entered including but not limited to：Click, touch, by, leave, slide,
Dragging, body language, keyboard input, handwriting input, option input, dialog box input, check box input.
19, the method, output equipment are following any one or combinations thereof：(1) photo sound output equipment：By audio-visual
Output equipment exports display system content；The photo sound output equipment is computer, mobile phone, smartwatch, tablet computer, display
Device, touch screen, projector, hologram instrument, Portable intelligent terminal, wearable intelligent terminal, VR virtual reality device, AR increase
Any one or more combinations in strong real world devices, MR mixed reality equipment；(2) text importing or output equipment；
Input equipment is following any or combination but is not limited to following a kind of or combination：Keyboard or mouse are hand-written
Or click class input equipment；Hologram instrument controller；Voice-input device；Human-computer interaction device；VR virtual reality controller；
AR augmented reality controller；MR mixed reality controller；Touch screen；The display screen of dialog box can be popped up；It can identify user's limb
The camera shooting of body language or photographic equipment；Brain-machine interaction equipment.
20, the method, input and output device support all kinds of wired, wireless network transmissions and remote operation.
21, in the present invention, the human body physiological data and genius morbi data include but is not limited to：Body temperature, heart rate, blood
Pressure, blood glucose, blood oxygen, electrocardiogram, electroencephalogram, respiratory rate, physical consumption, pain index, specific human physiological structure's holography shadow
Picture, digital imagery, 3-D supersonic imaging, four-dimensional information, clinical manifestation, analysis data, film making data, treatment method or particular person
Body electronic health record.
22, heretofore described human body physiological data acquisition sensor is：Intelligent wearable device, portable sensor,
The symbol such as the sensing equipments such as mobile phone, smartwatch, computer, tablet computer and HIS, CIS, LIS, EMR, PACS, RIS, CAD
Close any one or more combinations in the medical information system of dicom standard.
Claims (14)
1. the autonomous diagnostic model of human body diseases, it is characterized in that establishing in accordance with the following steps：
(1) healthy data information model is established：It is all to integrate human skin, muscle, bone, organ, tissue, system, acupuncture point
The normal index of the human body physiological data at position and normal index section are stored in database；
(2) human disease information database is established：Integrate all human body disease datas, including but not limited to each disease
The data such as title, cause of disease pathogeny, pathogenesis, complication are stored in database；
(3) human body diseases property data base is established：Integrate the genius morbi data of all human bodies, including but not limited to symptom, body
Sign, pathology, inspection, film making, data are stored in database；
(4) specified disease feature diagnosis weight assigns：By genius morbi corresponding to each disease of human body described in step (3)
Data form genius morbi data group, assign diagnosis weight to each genius morbi in genius morbi data group；The diagnosis
Weight refers to that a certain genius morbi data can make a definite diagnosis the relative importance of certain specified disease；
(5) disease logical algorithm model is constructed：Genius morbi data group, genius morbi according to corresponding to each disease and its
Corresponding relationship between data is constructed respectively independent and is mutually handed in conjunction with pathogenesis and clinical manifestation with digitizing technique
The disease logical algorithm model knitted；The disease logical algorithm model refers to：Based on existing medical knowledge and experience, medical matters are simulated
Personnel are by collecting the genius morbi of patient, and in conjunction with pathogenesis and clinical manifestation, method for inferring disease pushes away this
Disconnected process is configured to one kind can be by the algorithm model of Computing reasoning.
2. using the method for model realization artificial intelligence physical examination as described in claim 1, it is characterized in that realizing in accordance with the following steps：
(1) specific human body physiological data is acquired by sensor or manual input-mode, by collected specific Human Physiology number
It, will be in the human body physiological data of acquisition and healthy data information model by data processor according to data processor is input to
Corresponding comparing, when data are not different from normal index or within normal index section, when belonging to abnormal data, immediately
It follows disease logical algorithm model and carries out operation, genius morbi data and its institute in intelligent Matching human body diseases property data base
Genius morbi data group and corresponding disease, the diagnosis weights of genius morbi data is added, and retrieval, which is set out, covers this
Suspected disease corresponding to the genius morbi data group of genius morbi data, provides probability value；
(2) it is directed to human body individual difference additional corrections coefficient, including but not limited to：Race, region, country, family, season, ring
Border, weather, time, gender, age, occupation, social activity, habit, constitution correct the disease number retrieved by correction factor
According to；
(3) when retrieving certain suspected disease, abnormality warnings are issued, and exports to diagnose the illness and type or title and is suitble to this specific
The health care of human body, treatment recommendations.
3. method according to claim 2, feature further include：Inverse fortune can be carried out to the suspected disease that retrieval is set out
It calculates, predicts the probability for the genius morbi data or other suspected diseases that the suspected disease may cause and output.
4. according to the method described in claim 2, it is characterized in that making weight for the specific combination of part genius morbi data
Optimization algorithm increases or decreases weight；The weight optimization algorithm refers to：The specific combination of part genius morbi data is that certain is special
Determine the classical symptom of disease, while occurring to make a definite diagnosis substantially, making a definite diagnosis weight, to should be greater than these genius morbi data scattered solely
Numerical value when occurring is found, therefore makes weight optimization, improves weight.
5. method according to claim 2, it is characterized in that by collected specific human body physiological data according to timing node by
One storage, the data that user can extract the storage of any one timing node carry out Nodes Retrieval analysis, or extract any one
The data of a time interval storage carry out section retrieval analysis.
6. according to the method described in claim 2, it is characterized in that user can be prompted to disease spy after retrieving suspected disease
Levy secondary completion.
7. realizing the artificial intelligence Physical Examination System such as claim 2-6 any one the method, feature includes：
(1) operation and storage facilities：For running this system and storage related data, and include at least following one：A multimedia
Server；B photo sound output equipment；
(2) user's calling or input unit and output device；And user calls or input unit and output device and operation and storage
Deposit equipment electrical connection.
8. artificial intelligence Physical Examination System according to claim 7, feature include：
(1) the digital three-dimensional people for being built into the skin of human body, muscle, bone, organ, tissue, system, all position data in acupuncture point
Body Model；And the model carries out data with the autonomous diagnostic model of the human body diseases and docks, and makes the autonomous diagnostic model of human body diseases
In data and the region of interest of digital three-dimensional manikin correspond, framework provides the artificial of standby Human Physiology logic function
Intelligent digital human body；
(2) operation and storage facilities include at least following one for running this system and storage related data：A multimedia clothes
Business device；B photo sound output equipment；
(3) user's calling or input unit and output device；And user calls or input unit and output device and digital three-dimensional
Manikin, operation and storage facilities electrical connection.
9. carrying out human health using the system as described in claim 8 any one assesses ocular demonstration method, it is characterized in that pressing
It is realized according to following steps：
(1) it acquires specific human body physiological data or specific symptoms is manually entered on the input；And in digital three-dimensional human mould
Corresponding position loads in type, prominent maps presentation；
(2) system diagnoses and exports kinds of Diseases or title by the autonomous diagnostic model of human body diseases and is suitble to the specific human body
Health care, treatment recommendations；And the suspected disease that is set out of retrieval and its physical feeling influenced and all kinds of related datas are existed
Corresponding position loads on digital three-dimensional manikin, prominent maps presentation.
10. method according to claim 9, it is characterized in that by collected specific human body physiological data, including but not limited to
The data set of the diversified forms such as threedimensional model, image, picture, text, sound is at the corresponding position of digital three-dimensional manikin
Load, prominent maps presentation；Can also by the suspected disease retrieved and its physical feeling influenced and all kinds of related datas,
The data exist the data set including but not limited to the data set of the diversified forms such as threedimensional model, image, picture, text, sound
The corresponding position of digital three-dimensional manikin loads, and prominent maps presentation simultaneously gives a warning；And the above Various types of data can be real
Existing 360 degree rotation, scaling, dismantling, transparent, measurement, single choice, final election, frame choosing, whole observation, part observation, color change et al.
Machine interactive operation, and receive voice command control.
11. method according to claim 9, it is characterized in that step (1) acquires in specific human body physiological data step, Ke Yitong
It crosses and clicks the region of interest of digital three-dimensional manikin directly to load one or more genius morbi data, participate in disease logic
Algorithm model carries out operation, can also be one or more genius morbi data are directly loaded into number by way of touching dragging
The region of interest of word three-dimensional (3 D) manikin participates in disease logical algorithm model and carries out operation.
12. method according to claim 9 is manually entered including but not limited to it is characterized in that step (1) is described：It clicks, touching
Touch, by, leave, slide, pull, the input of body language, keyboard, handwriting input, option input, dialog box input, check box
Input.
13. method according to claim 9, it is characterized in that output equipment is following any one or combinations thereof：(1) audio-visual defeated
Equipment out：Display system content is exported by photo sound output equipment；The photo sound output equipment is computer, mobile phone, intelligent hand
Table, tablet computer, display, touch screen, projector, hologram instrument, Portable intelligent terminal, wearable intelligent terminal, VR
Virtual reality device, AR augmented reality equipment, any one or more combinations in MR mixed reality equipment；(2) text importing or
Output equipment；
Input equipment is following any or combination but is not limited to following a kind of or combination：Keyboard or mouse or hand-written or point
Hit class input equipment；Hologram instrument controller；Voice-input device；Human-computer interaction device；VR virtual reality controller；AR increases
Strong reality controller；MR mixed reality controller；Touch screen；The display screen of dialog box can be popped up；It can identify user's limbs language
The camera shooting of speech or photographic equipment；Brain-machine interaction equipment.
14. method according to claim 9, it is characterized in that input and output device supports all kinds of wired, wireless network transmissions
And remote operation.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109686453A (en) * | 2018-12-26 | 2019-04-26 | 上海元荷生物技术有限公司 | Medical aid decision-making system based on big data |
| CN109712704A (en) * | 2018-12-14 | 2019-05-03 | 北京百度网讯科技有限公司 | The recommended method and its device of scheme |
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| CN111383761A (en) * | 2018-12-28 | 2020-07-07 | 医渡云（北京）技术有限公司 | Medical data analysis method and device, electronic equipment and computer readable medium |
| CN111839480A (en) * | 2020-07-14 | 2020-10-30 | 广州智康云科技有限公司 | Robot detection processing system and method and robot |
| CN112071428A (en) * | 2020-09-01 | 2020-12-11 | 物卡智能科技(深圳)有限公司 | Latent disease analysis system based on health data acquisition |
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| WO2021249034A1 (en) * | 2020-06-08 | 2021-12-16 | 华为技术有限公司 | Method and device for generating arteriosclerosis detection interface, terminal, and system |
| WO2022126800A1 (en) * | 2020-12-17 | 2022-06-23 | 谈斯聪 | Symptom, blood data and medical image fused method for comprehensively recognizing various suspected diseases |
| WO2022135583A1 (en) * | 2020-12-25 | 2022-06-30 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring device and display method for monitoring device |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710371A (en) * | 2009-12-25 | 2010-05-19 | 张立彬 | Technology of human health condition holographic acquisition and computer-aided diagnosis and health risk assessment |
| CN101887488A (en) * | 2010-03-17 | 2010-11-17 | 张立彬 | Mobile phone doctor system |
| CN102194059A (en) * | 2011-05-24 | 2011-09-21 | 中国科学院上海技术物理研究所 | Visual indexing system for medical information system |
| CN103793611A (en) * | 2014-02-18 | 2014-05-14 | 中国科学院上海技术物理研究所 | Medical information visualization method and device |
| CN104392110A (en) * | 2014-11-04 | 2015-03-04 | 宝鸡数字人信息科技有限公司 | Method and system for visually monitoring, analyzing and evaluating physiological data of human body |
| CN104462760A (en) * | 2014-11-04 | 2015-03-25 | 宝鸡数字人信息科技有限公司 | Three-dimensional visualization health assessment method and system |
| CN104462761A (en) * | 2014-11-04 | 2015-03-25 | 宝鸡数字人信息科技有限公司 | Three-dimensional visualization digital monitoring method and system |
| CN105701342A (en) * | 2016-01-12 | 2016-06-22 | 西北工业大学 | Agent-based construction method and device of intuitionistic fuzzy theory medical diagnosis model |
| CN105893778A (en) * | 2016-04-28 | 2016-08-24 | 陕西数字人信息科技有限公司 | Four-dimensional digital human body physiological data visual monitoring, analyzing and assessing method and system |
| CN107038343A (en) * | 2017-04-10 | 2017-08-11 | 荣科科技股份有限公司 | Construction method and constructing system, the clinical diagnosing system of clinical diagnosis model |
| CN107545143A (en) * | 2017-09-04 | 2018-01-05 | 复旦大学 | The mapping method of disease and human body |
| CN107919045A (en) * | 2017-12-11 | 2018-04-17 | 陕西数字人信息科技有限公司 | One kind mapping human pathology's demenstration method and system |
-
2018
- 2018-05-09 CN CN201810439205.8A patent/CN108836285A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710371A (en) * | 2009-12-25 | 2010-05-19 | 张立彬 | Technology of human health condition holographic acquisition and computer-aided diagnosis and health risk assessment |
| CN101887488A (en) * | 2010-03-17 | 2010-11-17 | 张立彬 | Mobile phone doctor system |
| CN102194059A (en) * | 2011-05-24 | 2011-09-21 | 中国科学院上海技术物理研究所 | Visual indexing system for medical information system |
| CN103793611A (en) * | 2014-02-18 | 2014-05-14 | 中国科学院上海技术物理研究所 | Medical information visualization method and device |
| CN104392110A (en) * | 2014-11-04 | 2015-03-04 | 宝鸡数字人信息科技有限公司 | Method and system for visually monitoring, analyzing and evaluating physiological data of human body |
| CN104462760A (en) * | 2014-11-04 | 2015-03-25 | 宝鸡数字人信息科技有限公司 | Three-dimensional visualization health assessment method and system |
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