CN108245161A - The assistant diagnosis system of lung's common disease - Google Patents
The assistant diagnosis system of lung's common disease Download PDFInfo
- Publication number
- CN108245161A CN108245161A CN201711433168.1A CN201711433168A CN108245161A CN 108245161 A CN108245161 A CN 108245161A CN 201711433168 A CN201711433168 A CN 201711433168A CN 108245161 A CN108245161 A CN 108245161A
- Authority
- CN
- China
- Prior art keywords
- module
- lung
- diagnostic
- disease
- diagnostic message
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 92
- 201000010099 disease Diseases 0.000 title claims abstract description 91
- 210000004072 lung Anatomy 0.000 title claims abstract description 79
- 238000003745 diagnosis Methods 0.000 title claims abstract description 61
- 208000019693 Lung disease Diseases 0.000 claims abstract description 13
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 5
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 claims description 41
- 208000024891 symptom Diseases 0.000 claims description 21
- 230000036760 body temperature Effects 0.000 claims description 10
- 230000003993 interaction Effects 0.000 claims description 7
- 210000004369 blood Anatomy 0.000 claims description 5
- 239000008280 blood Substances 0.000 claims description 5
- 206010036790 Productive cough Diseases 0.000 claims description 4
- 230000009325 pulmonary function Effects 0.000 claims description 4
- 238000012258 culturing Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000004199 lung function Effects 0.000 claims description 3
- 208000024794 sputum Diseases 0.000 claims description 3
- 210000003802 sputum Anatomy 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 4
- 238000004195 computer-aided diagnosis Methods 0.000 description 3
- 230000003902 lesion Effects 0.000 description 3
- 208000006673 asthma Diseases 0.000 description 2
- 230000000877 morphologic effect Effects 0.000 description 2
- 230000003519 ventilatory effect Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 208000006545 Chronic Obstructive Pulmonary Disease Diseases 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 206010014561 Emphysema Diseases 0.000 description 1
- 206010062717 Increased upper airway secretion Diseases 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 206010035664 Pneumonia Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000001772 blood platelet Anatomy 0.000 description 1
- 206010006451 bronchitis Diseases 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 210000003743 erythrocyte Anatomy 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 244000052769 pathogen Species 0.000 description 1
- 230000001717 pathogenic effect Effects 0.000 description 1
- 208000026435 phlegm Diseases 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000002685 pulmonary effect Effects 0.000 description 1
- 208000008128 pulmonary tuberculosis Diseases 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/091—Measuring volume of inspired or expired gases, e.g. to determine lung capacity
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Pulmonology (AREA)
- Physiology (AREA)
- High Energy & Nuclear Physics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Radiology & Medical Imaging (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention provides a kind of assistant diagnosis system of lung's common disease, including diagnostic message acquisition module, disease assessment module and comprehensive diagnosis module；Diagnostic message acquisition module obtains a variety of diagnostic messages, disease assessment module assesses each diagnostic message one by one according to default pulmonary disease assessment rule, one group of assessment probability for suffering from various lung's common diseases is obtained according to each diagnostic message, comprehensive diagnosis module obtains one group of combined chance for suffering from various lung's common diseases according to multigroup assessment probability and the default weight of each diagnostic message；Hence for the auxiliary diagnosis of pulmonary disease, the system obtains one group of probability of illness by each diagnostic message, go out the probability of illness of one group of synthesis further according to the weight calculation of each diagnostic message, the system can be diagnosed with reference to a variety of diagnostic messages, and the probability of illness of various lung's common diseases is given with reference to a variety of diagnostic messages, realize the comprehensive comprehensive diagnostic to lung's common disease.
Description
Technical field
The present invention relates to intelligent auxiliary diagnosis technical fields, are examined more particularly, to a kind of auxiliary of lung's common disease
Disconnected system.
Background technology
With the rapid development and extensive use of Artificial intellectual technology level, computer-aided diagnosis technology is to people
The health of class plays increasingly important role, and computer-aided diagnosis (Computer Aided Diagnosis, CAD) is
Refer to by iconography, Medical Image Processing and other possible physiology, biochemical apparatus, with reference to the analysis meter of computer
It calculates, auxiliary finds lesion, improves the accuracy rate of diagnosis.
At present, most of assistant diagnosis systems all only with disease-associated larger diagnostic message analyze and be sentenced to minority
It is fixed, assessment detection is carried out for certain specified disease, to ensure higher accuracy rate of diagnosis；And for pulmonary disease, lung's disease
The type of disease is more, and similarity is larger, makes a definite diagnosis pulmonary disease and generally requires a greater variety of diagnostic messages, however current auxiliary
The auxiliary diagnosis function of diagnostic system is excessively single, it is impossible to meet the demand of lung's common disease of comprehensive diagnostic patient.
Invention content
In order to overcome the above problem or solve the above problems at least partly, the present invention provides a kind of lung's common disease
Assistant diagnosis system.
According to an aspect of the present invention, a kind of assistant diagnosis system of lung's common disease is provided, including：Diagnostic message
Acquisition module, disease assessment module and comprehensive diagnosis module；Diagnostic message acquisition module is connected to disease assessment module, and disease is commented
Estimate module and be connected to comprehensive diagnosis module；Diagnostic message acquisition module for obtaining a variety of diagnostic messages, and a variety of diagnosis is believed
Breath is sent to disease assessment module, wherein, a variety of diagnostic messages include symptom information, body temperature information, blood routine detection information, phlegm
Cultivate information, pulmonary function detection information, lung x-ray photograph detection information and lung CT image detection information；Disease assessment module is used
In assessing each diagnostic message one by one according to default pulmonary disease assessment rule, to obtain multigroup assessment probability, and commented multigroup
Estimate probability and be sent to comprehensive diagnosis module, wherein, one group of assessment probability corresponds to a kind of diagnostic message, and each assessment probability is suffers from
A kind of probability of illness of lung's common disease；Comprehensive diagnosis module, for according to multigroup assessment probability and each diagnostic message
Default weight, and calculated based on preset algorithm and obtain one group of combined chance for suffering from various lung's common diseases, and by each synthesis
Probability is as diagnostic result.
Wherein, which further includes image detection module；Image detection module, for detecting lung x-ray photograph to generate lung
Portion's X-ray detection information is additionally operable to detection lung CT image to generate lung CT image detection information.
Wherein, which further includes lung capacity detection device；Lung capacity measuring apparatus, for measuring lung capacity to generate lung
Function detection information.
Wherein, which further includes temperature taking instrument；Temperature taking instrument, for measuring body temperature to generate body temperature information.
Wherein, which further includes symptom selecting module；Symptom selecting module, for providing a user the choosing of a variety of symptoms
, symptom information is generated according to the option that user selects.
Wherein, which further includes memory module；Memory module, for storing diagnostic message, so that diagnostic message obtains
Module obtains diagnostic message, is additionally operable to storage diagnostic result.
Wherein, which further includes message output module；Message output module, for showing diagnostic message to user and examining
Disconnected result.
Wherein, which further includes voice interaction module；The voice interaction module, the voice for receiving user refer to
It enables, is additionally operable to issue the user with suggestion voice.
The assistant diagnosis system of a kind of lung's common disease provided by the invention, including diagnostic message acquisition module, disease
Evaluation module and comprehensive diagnosis module；Diagnostic message acquisition module obtains a variety of diagnostic messages, and disease assessment module is according to default
Pulmonary disease assessment rule assesses each diagnostic message one by one, is obtained according to each diagnostic message and suffers from various lung's common diseases
It is various to obtain trouble according to multigroup assessment probability and the default weight of each diagnostic message for one group of assessment probability, comprehensive diagnosis module
One group of combined chance of lung's common disease；Hence for the auxiliary diagnosis of pulmonary disease, which passes through each diagnostic message
One group of probability of illness is obtained, goes out the probability of illness of one group of synthesis further according to the weight calculation of each diagnostic message, which can tie
It closes a variety of diagnostic messages to be diagnosed, and the probability of illness of various lung's common diseases is given with reference to a variety of diagnostic messages, it is real
The comprehensive comprehensive diagnostic to lung's common disease is showed.
Description of the drawings
It, below will be to embodiment or the prior art in order to illustrate more clearly of the present invention or technical solution of the prior art
Attached drawing is briefly described needed in description, it should be apparent that, the accompanying drawings in the following description is the one of the present invention
A little embodiments, for those of ordinary skill in the art, without creative efforts, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the schematic diagram according to the assistant diagnosis system of lung's common disease of the embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, is clearly and completely described the technical solution in the present invention, it is clear that described embodiment is a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound
All other embodiments obtained under the premise of the property made labour, shall fall within the protection scope of the present invention.
In one embodiment of the invention, with reference to figure 1, a kind of assistant diagnosis system of lung's common disease is provided, is wrapped
It includes：Diagnostic message acquisition module 10, disease assessment module 20 and comprehensive diagnosis module 30；Diagnostic message acquisition module 10 is connected to
Disease assessment module 20, disease assessment module 20 are connected to comprehensive diagnosis module 30；Diagnostic message acquisition module 10, for obtaining
A variety of diagnostic messages, and a variety of diagnostic messages are sent to disease assessment module 20, wherein, a variety of diagnostic messages are believed including symptom
Breath, body temperature information, blood routine detection information, Sputum culturing information, pulmonary function detection information, lung x-ray photograph detection information and lung
CT image detection information；Disease assessment module 20, for assessing each diagnosis letter one by one according to default pulmonary disease assessment rule
Multigroup assessment probability to obtain multigroup assessment probability, and is sent to comprehensive diagnosis module 30 by breath, wherein, one group of assessment probability
Corresponding to a kind of diagnostic message, each assessment probability is to suffer from a kind of probability of illness of lung's common disease；Comprehensive diagnosis module 30,
For the default weight according to multigroup assessment probability and each diagnostic message, and calculate to obtain based on preset algorithm and suffer from various lungs
One group of combined chance of common disease, and using each combined chance as diagnostic result.
Specifically, lung's common disease includes pneumonia, pulmonary tuberculosis, bronchitis, asthma, pulmonary emphysema and chronic obstructive pulmonary
Disease (COPD) etc. since part lung common disease similarity-rough set is big, needs a variety of diagnostic message comprehensive diagnos ability
Ensure higher accuracy rate of diagnosis；The assistant diagnosis system of lung's common disease of the present embodiment includes diagnostic message acquisition module
10, for obtaining various diagnostic messages, these diagnostic messages can obtain diagnostic message acquisition module 10 from corresponding equipment,
Can also middle acquisition based on the user's input information, diagnostic message include symptom information (as " expectoration asthma " or " spitting of blood " disease
Shape information), body temperature information (such as temperature data of patient's privileged site), blood routine detection information (such as red blood cell, leucocyte, blood
Platelet quantity variation and fractions distribution information), Sputum culturing information (information of such as pathogen), pulmonary function detection information
(such as ventilatory function, ventilatory, respiratory regulation function and pulmonary circulatory function information), lung x-ray photograph detection information (such as X-ray
Size, density and the morphological feature of middle lesion region) and lung CT image detection information (size of lesion region in CT images,
Density and morphological feature) etc..
For different diagnostic messages, it need to be assessed by different disease assessment rules, give each diagnostic message
A set of disease assessment rule is formulated, and is integrated into pulmonary disease assessment rule, the auxiliary of lung's common disease of the present embodiment is examined
Disconnected system further includes disease assessment module 20, and disease assessment module 20 is connected to diagnostic message acquisition module 10, and receives diagnosis
Data obtaining module 10 send various diagnostic messages, recycle corresponding disease assessment rule one by one to each diagnostic message into
Row assessment, and provide the possibility (assessing probability) of suffered from various lung's common diseases, then a kind of diagnostic message can be by disease
The assessment of evaluation module 20 obtains one group of assessment probability, for example, if during diagnostic message shares 7, lung's common disease of diagnosis shares
In 6, then 7 groups of assessment probability are obtained after the assessment of disease assessment module 20, there are 6 probability values in every group of assessment probability, it is right respectively
It should be in 6 kinds of lung's common diseases；Certain diagnostic messages may occupy an leading position in certain disease is diagnosed, and certain diagnostic messages
Reference role can only then be played the role of, it is every in diagnosis for the degree that diagnostic message is played during diagnosing the illness
During kind disease, it can give diagnostic message that one weight is set, for the high diagnostic message of degree, the weight of setting is high, otherwise sets
The weight put is low；In the present embodiment, comprehensive diagnosis module 30 that the assistant diagnosis system of lung's common disease includes, according to multigroup
The default weight of probability and each diagnostic message is assessed, and calculates to obtain based on preset algorithm and suffers from the one of various lung's common diseases
Group combined chance, and using each combined chance as diagnostic result, by setting weight to diagnostic message, it is accurate that diagnosis can be improved
True rate；Wherein, preset algorithm is：
Wherein, combined chances of the p for any lung's common disease, wiFor the weight of i-th kind of diagnostic message, piFor by i-th kind
The assessment probability of any lung's common disease that diagnostic message is assessed.
Meanwhile the assistant diagnosis system of lung's common disease can also do targetedly auxiliary diagnosis, such as to Mr. Yu
The diagnosis of one specific lung's common disease can be that the diagnosis of specific lung's common disease sets a rational diagnosis
Path, diagnosis path define the sequence of disease assessment module estimation diagnostic message, i.e., when the auxiliary diagnosis spy is wanted in user's selection
During the disease condition of fixed lung's common disease, the sequence of diagnostic message acquisition module feeling open circuit diameter defined obtains diagnosis letter
Breath is sent to disease assessment module one by one, and disease assessment module is sequentially assessed according to as defined in diagnosis path, for weight
Too low diagnostic message, without being added in diagnosis path, disease assessment module without the too low diagnostic message of assessment weight,
Diagnostic result is influenced less, but the working efficiency of system can be improved.
The assistant diagnosis system of lung's common disease in the present embodiment includes diagnostic message acquisition module, disease assessment mould
Block and comprehensive diagnosis module；Diagnostic message acquisition module obtains a variety of diagnostic messages, and disease assessment module is according to default lung disease
Disease assessment rule assesses each diagnostic message one by one, and suffer from various lung's common diseases one group is obtained according to each diagnostic message and is commented
Estimate probability, it is normal to obtain the various lungs of trouble according to multigroup assessment probability and the default weight of each diagnostic message for comprehensive diagnosis module
See one group of combined chance of disease；Hence for the auxiliary diagnosis of pulmonary disease, which obtains one by each diagnostic message
Group probability of illness, goes out the probability of illness of one group of synthesis, which can combine a variety of further according to the weight calculation of each diagnostic message
Diagnostic message is diagnosed, and gives the probability of illness of various lung's common diseases with reference to a variety of diagnostic messages, is realized pair
The comprehensive comprehensive diagnostic of lung's common disease.
Based on above-described embodiment, for some large-scale detection devices, the assistant diagnosis system of lung's common disease can lead to
It crosses long-range transmission mode and obtains corresponding diagnostic message, for the high but small equipment of some frequency of use, such as image
Detection module, lung capacity detection device and temperature taking instrument etc. can be integrated into the assistant diagnosis system of lung's common disease, with
Simplify the acquiring way of part diagnostic message.
Wherein, which further includes image detection module；Image detection module, for detecting lung x-ray photograph to generate lung
Portion's X-ray detection information is additionally operable to detection lung CT image to generate lung CT image detection information.
Wherein, which further includes lung capacity detection device；Lung capacity measuring apparatus, for measuring lung capacity to generate lung
Function detection information.
Wherein, which further includes temperature taking instrument；Temperature taking instrument, for measuring body temperature to generate body temperature information.
Based on above example, which further includes symptom selecting module；Symptom selecting module is more for providing a user
The option of kind symptom generates symptom information according to the option that user selects.
Specifically, the symptom of patient, can not be detected by detection device, can only by the diagnosis at doctor scene or
The judgement of person patient itself, the symptom selecting module of the system provide the options of a variety of symptoms, and root to doctor or patient
Generate symptom information according to the option that doctor or patient select, symptom information can also be used as the foundation to diagnose the illness, so as to for
The system increases a kind of approach of medical diagnosis on disease.
Based on above example, which further includes memory module；Memory module, for storing diagnostic message, for examining
Disconnected data obtaining module obtains diagnostic message, is additionally operable to storage diagnostic result.
Specifically, the memory module of the system, for storing various diagnostic messages, on the one hand can obtain for diagnostic message
On the other hand module calls can also inquire diagnostic message at any time for user, memory module also stores diagnostic result, for user
It inquires at any time.
Based on above example, which further includes message output module；Message output module, for being examined to user's displaying
Disconnected information and diagnostic result.
Specifically, diagnostic message and diagnostic result are the significant datas for analyzing disease, it is defeated which also provides information
Go out module, which can receive the inquiry of user, to the various information needed for user's displaying, including various diagnostic messages,
And diagnostic result, wherein, diagnostic result can show user in a manner of list, and list includes the common disease of various lungs
Disease and each corresponding probability of illness of lung's common disease.
Based on above example, which further includes voice interaction module；The voice interaction module, for receiving user
Phonetic order, be additionally operable to issue the user with suggestion voice.
Specifically, the voice interaction module of the system, the basic phonetic order of some simple operations can be received, moreover it is possible to send out
Go out voice prompt, prompt the points for attention of user, enhance the intelligent level of the system.
What is finally illustrated is：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although ginseng
The present invention is described in detail according to previous embodiment, it will be understood by those of ordinary skill in the art that：It still can be with
It modifies to the technical solution recorded in foregoing embodiments or equivalent replacement is carried out to which part technical characteristic；And
These modifications are replaced, the spirit and model of various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution
It encloses.
Claims (8)
1. a kind of assistant diagnosis system of lung's common disease, which is characterized in that including：Diagnostic message acquisition module, disease are commented
Estimate module and comprehensive diagnosis module；
The diagnostic message acquisition module is connected to the disease assessment module, and the disease assessment module is connected to the synthesis
Diagnostic module；
A variety of diagnostic messages for obtaining a variety of diagnostic messages, and are sent to the disease by the diagnostic message acquisition module
Evaluation module, wherein, a variety of diagnostic messages include symptom information, body temperature information, blood routine detection information, Sputum culturing information, lung
Function detection information, lung x-ray photograph detection information and lung CT image detection information；
The disease assessment module, for assessing each diagnostic message one by one according to default pulmonary disease assessment rule, to obtain
Multigroup assessment probability, and multigroup assessment probability is sent to the comprehensive diagnosis module, wherein, one group of assessment probability corresponds to one
Kind diagnostic message, each assessment probability is to suffer from a kind of probability of illness of lung's common disease；
The comprehensive diagnosis module, for the default weight according to multigroup assessment probability and each diagnostic message, and based on default
Algorithm calculates one group of combined chance for obtaining and suffering from various lung's common diseases, and using each combined chance as diagnostic result.
2. system according to claim 1, which is characterized in that the system also includes image detection modules；
Described image detection module for detecting lung x-ray photograph to generate the lung x-ray photograph detection information, is additionally operable to detect
Lung CT image is to generate the lung CT image detection information.
3. system according to claim 1, which is characterized in that the system also includes lung capacity detection devices；
The lung capacity measuring apparatus, for measuring lung capacity to generate the pulmonary function detection information.
4. system according to claim 1, which is characterized in that the system also includes temperature taking instrument；
The temperature taking instrument, for measuring body temperature to generate the body temperature information.
5. system according to claim 1, which is characterized in that the system also includes symptom selecting modules；
The symptom selecting module for providing a user the option of a variety of symptoms, is generated according to the option that the user selects
The symptom information.
6. system according to claim 1, which is characterized in that the system also includes memory modules；
The memory module, for storing the diagnostic message, so that the diagnostic message acquisition module obtains the diagnosis letter
Breath, is additionally operable to store the diagnostic result.
7. system according to claim 1, which is characterized in that the system also includes message output modules；
Described information output module, for showing the diagnostic message and the diagnostic result to user.
8. system according to claim 1, which is characterized in that the system also includes voice interaction modules；
The voice interaction module for receiving the phonetic order of user, is additionally operable to issue the user with suggestion voice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711433168.1A CN108245161A (en) | 2017-12-26 | 2017-12-26 | The assistant diagnosis system of lung's common disease |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711433168.1A CN108245161A (en) | 2017-12-26 | 2017-12-26 | The assistant diagnosis system of lung's common disease |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108245161A true CN108245161A (en) | 2018-07-06 |
Family
ID=62723655
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711433168.1A Pending CN108245161A (en) | 2017-12-26 | 2017-12-26 | The assistant diagnosis system of lung's common disease |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108245161A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109887561A (en) * | 2019-02-12 | 2019-06-14 | 北京倍肯恒业科技发展股份有限公司 | A kind of artificial intelligence cervical carcinoma screening determines method and apparatus |
| CN110491503A (en) * | 2019-08-21 | 2019-11-22 | 山东大学第二医院 | A kind of cholelithiasis intelligent assistance system based on deep learning |
| CN111887849A (en) * | 2020-06-22 | 2020-11-06 | 广州医科大学附属第一医院（广州呼吸中心） | Lung image-based curve processing method and device, electronic device and storage medium |
| CN113140326A (en) * | 2020-12-31 | 2021-07-20 | 上海明品医学数据科技有限公司 | New crown pneumonia detection device, intervention device and detection intervention system |
| CN113160995A (en) * | 2020-12-31 | 2021-07-23 | 上海明品医学数据科技有限公司 | Digestive tract perforation diagnosis device, intervention device and diagnosis intervention system |
| CN115331804A (en) * | 2022-07-04 | 2022-11-11 | 深圳市镜象科技有限公司 | Multi-modal psychological disease diagnosis method, computer device and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201855262U (en) * | 2010-09-16 | 2011-06-08 | 复旦大学附属中山医院 | System used for auxiliary diagnosis of lung function index |
| CN105574337A (en) * | 2015-12-16 | 2016-05-11 | 上海亿保健康管理有限公司 | Health evaluation device |
| CN105814571A (en) * | 2013-11-07 | 2016-07-27 | 曼迪奥研究有限公司 | Methods and systems of evaluating a risk of lung cancer |
| CN107334458A (en) * | 2017-06-30 | 2017-11-10 | 普罗朗生物技术（无锡）有限公司 | A kind of lung cancer detection method and system for asian ancestry crowd |
-
2017
- 2017-12-26 CN CN201711433168.1A patent/CN108245161A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201855262U (en) * | 2010-09-16 | 2011-06-08 | 复旦大学附属中山医院 | System used for auxiliary diagnosis of lung function index |
| CN105814571A (en) * | 2013-11-07 | 2016-07-27 | 曼迪奥研究有限公司 | Methods and systems of evaluating a risk of lung cancer |
| CN105574337A (en) * | 2015-12-16 | 2016-05-11 | 上海亿保健康管理有限公司 | Health evaluation device |
| CN107334458A (en) * | 2017-06-30 | 2017-11-10 | 普罗朗生物技术（无锡）有限公司 | A kind of lung cancer detection method and system for asian ancestry crowd |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109887561A (en) * | 2019-02-12 | 2019-06-14 | 北京倍肯恒业科技发展股份有限公司 | A kind of artificial intelligence cervical carcinoma screening determines method and apparatus |
| CN110491503A (en) * | 2019-08-21 | 2019-11-22 | 山东大学第二医院 | A kind of cholelithiasis intelligent assistance system based on deep learning |
| CN111887849A (en) * | 2020-06-22 | 2020-11-06 | 广州医科大学附属第一医院（广州呼吸中心） | Lung image-based curve processing method and device, electronic device and storage medium |
| CN111887849B (en) * | 2020-06-22 | 2022-08-05 | 广州医科大学附属第一医院（广州呼吸中心） | Curve processing device based on lung image, electronic equipment and storage medium |
| CN113140326A (en) * | 2020-12-31 | 2021-07-20 | 上海明品医学数据科技有限公司 | New crown pneumonia detection device, intervention device and detection intervention system |
| CN113160995A (en) * | 2020-12-31 | 2021-07-23 | 上海明品医学数据科技有限公司 | Digestive tract perforation diagnosis device, intervention device and diagnosis intervention system |
| WO2022141928A1 (en) * | 2020-12-31 | 2022-07-07 | 上海明品医学数据科技有限公司 | Covid-19 detection device, intervention device, and detection-intervention system |
| CN115331804A (en) * | 2022-07-04 | 2022-11-11 | 深圳市镜象科技有限公司 | Multi-modal psychological disease diagnosis method, computer device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108245161A (en) | The assistant diagnosis system of lung's common disease | |
| CN105184103B (en) | Virtual name based on the database of case history cures system | |
| US8380013B2 (en) | Case image search apparatus, method and computer-readable recording medium | |
| EP2375378A1 (en) | Medical image diagnosis assisting apparatus and method, and computer readable recording medium on which is recorded program for the same | |
| CN109190540A (en) | Biopsy regions prediction technique, image-recognizing method, device and storage medium | |
| KR20170046104A (en) | Method and apparatus for providing medical information service based on diesease model | |
| US20110075900A1 (en) | Diagnosis assisting system, computer readable recording medium having diagnosis assisting program recorded thereon, and diagnosis assisting method | |
| CN106170246A (en) | For four-dimensional (4D) stream equipment of nuclear magnetic resonance, method and product | |
| CN107209809A (en) | Background for the report content of radiological report is created | |
| JP5318855B2 (en) | Imaging technology | |
| CN116246778B (en) | Intelligent diagnosis platform for lung function detection | |
| US20210151171A1 (en) | Apparatus and method for medical image reading assistant providing representative image based on medical use artificial neural network | |
| CN114533121B (en) | Brain perfusion state prediction device, method and equipment and model training device | |
| WO2008097475A2 (en) | Method and system for determining placental volume | |
| WO2022178947A1 (en) | Monitoring and early warning method and apparatus based on multiple dimensions, and device and storage medium | |
| WO2021205033A1 (en) | Clinically meaningful and personalized disease progression monitoring incorporating established disease staging definitions | |
| US20200342964A1 (en) | Medical information processing apparatus, ordering system and method | |
| CN116453641B (en) | Data processing method and system for auxiliary analysis information of traditional Chinese medicine | |
| CN108877945A (en) | Medical information processing method and device | |
| CN117100246A (en) | Health state analysis method based on dynamic bioelectric signals and related products | |
| CN107334458A (en) | A kind of lung cancer detection method and system for asian ancestry crowd | |
| JP5348998B2 (en) | Image search apparatus and method | |
| Zhao et al. | Study on the effect of hypertensive treatment based on drug factor analysis model under the background of big data | |
| WO2022141929A1 (en) | Health self-test system, server, and health testing system | |
| CN113903433A (en) | Image processing method and device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180706 |
|
| RJ01 | Rejection of invention patent application after publication |