CN110265118A - A kind of appraisal procedure and system of lung image diagnosis report quality - Google Patents
A kind of appraisal procedure and system of lung image diagnosis report quality Download PDFInfo
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- CN110265118A CN110265118A CN201910517438.XA CN201910517438A CN110265118A CN 110265118 A CN110265118 A CN 110265118A CN 201910517438 A CN201910517438 A CN 201910517438A CN 110265118 A CN110265118 A CN 110265118A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Abstract
The present invention relates to the appraisal procedures and system of a kind of lung image diagnosis report quality, including acquisition module, the acquisition module respectively with First Hospital data, the connection of second hospital database ... N hospital database, pulmonary cancer diagnosis record in secrecy individual database for will be stored therein is read and by network transmission to main medical server, the main medical server is also connected with multiple clinic databases, the patient information in secrecy individual database for that will be stored in the database of clinic gives main medical server by network transmission, the patient information includes patient code and objective medical data；The network is wired or wireless network.Pass through the diagnosis and therapy recording in acquisition people's daily life, it is scientificlly and effectively analyzed according to diagnosis and therapy recording collected, dynamically calculate and assess personal lung image result, and it reminds lung cancer probability is suffered from, people are improved to the cognition degree of oneself physical condition, reduce the disease incidence of lung cancer.Additionally provide a kind of appraisal procedure of lung image diagnosis report quality.
Description
Technical field
The present invention relates to pulmonary disease Clinics field, the assessment side of specifically a kind of lung image diagnosis report quality
Method and system.
Background technique
Lung cancer is the highest disease of Chinese morbidity and mortality, and nearly 30 years lung cancer mortalities increase by 465%.It is wherein very big
The reason of be 75% cancer patient just made a definite diagnosis in middle and advanced stage, even if lung cancer is all malignant tumours in developed country
In most common most fatal one kind.The early diagnosis of tumour and detection for patient treatment and there is very important face more afterwards
Bed meaning.All early intervention measures must all carry out on the basis of clear lesion nature and degree, and imageological examination
It is the key that discovery lesion, qualitative and quantitative analysis, predictive disease is carried out to lesion.The CT of one group of 1.25 millimeters of thickness has 200-
300 layer images, in face of a large amount of CT images of generation, if it is possible to the processing of the pulmonary cancer diagnosis record based on big data
Method, can it is labor-saving simultaneously, by comparing analysis and Accurate Diagnosis patients with lung cancer, improve the speed of diagnosis
With diagnosis and treatment accuracy.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of appraisal procedure of lung image diagnosis report quality and it is
System, to solve defect existing in the prior art.
The technical scheme to solve the above technical problems is that
A kind of assessment system of lung image diagnosis report quality, comprising: acquisition module, the acquisition module is respectively with
One hospital data, the connection of the second hospital database ... N hospital database, the secrecy personal data for will be stored therein
Pulmonary cancer diagnosis record in library is read and by network transmission to main medical server, and the main medical server is also connected with multiple
Clinic database, the patient information in secrecy individual database for will be stored in the database of clinic by network transmission to
Main medical server, the patient information include patient code and objective medical data；The network is wired or wireless network
Network；
Further, the personal private data library, which is summarized, deposits several patients with lung cancer record information, including heart Ht, liver Lr, spleen
The internal organs extent of this five aspect evaluation users of Sn, lung Lg, kidney Rl；And according to living and diet threshold value valuation functions flife,
Calculate health effect threshold parameter PHM；Prediction module is analyzed, according to diversification Medical Consumption data prediction model, analysis prediction
The progression of the disease situation of user；
The specific calculating of a kind of appraisal procedure of lung image diagnosis report quality, health evaluation model HM includes: initial
Change the limbs of user and healthy threshold value H < ki, the vi > of internal organs, wherein ki ∈ { Ht, Lr, Sn, Lg, Rl }, vi is the health of internal organs
Assessed value is divided into qualitative index and two kinds of quantitative target according to health indicator difference；According to physical examination data analysis corrections health
Threshold value；There are certain zang-fu diseases in physical examination data, then the internal organs are negative value；The continuous broken line of analytical calculation projects data
Figure, calculates its slope variation value；If its attenuation rate is always positive number within the period, reflect that its internal organs is in rehabilitation state；If declining
There is fluctuation status within the period in lapse rate, then calculates its mean attenuation coefficient, and positive value then illustrates that its internal organs belongs to normal development, bears
It is worth this and illustrates that its living and diet there are problem, needs to correct；Internal organs after predicting several periods by average attenuation rate develop feelings
Condition.
The beneficial effects of the present invention are: this method is by the diagnosis and therapy recording in acquisition people's daily life, according to being acquired
Diagnosis and therapy recording scientificlly and effectively analyzed, dynamically calculate and assess personal lung image as a result, and several to lung cancer is suffered from
Rate is reminded, and is improved people to the cognition degree of oneself physical condition, is reduced the disease incidence of lung cancer.
Detailed description of the invention
Fig. 1 is schematic structural view of the invention；
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
As shown in Figure 1, a kind of assessment system of lung image diagnosis report quality, comprising: acquisition module, the acquisition mould
Block is connect with First Hospital data, the second hospital database ... N hospital database respectively, the guarantor for will be stored therein
Pulmonary cancer diagnosis record in close individual database is read and by network transmission to main medical server, the main medical server
Multiple clinic databases are also connected with, the patient information in secrecy individual database for will be stored in the database of clinic passes through
Network transmission gives main medical server, and the patient information includes patient code and objective medical data；The network is wired
Or wireless network；
More specifically, the personal private data library, which is summarized, deposits several patients with lung cancer record information, including heart Ht, liver Lr, spleen
The internal organs extent of this five aspect evaluation users of Sn, lung Lg, kidney Rl；And according to living and diet threshold value valuation functions flife,
Calculate health effect threshold parameter PHM；Prediction module is analyzed, according to diversification Medical Consumption data prediction model, analysis prediction
The progression of the disease situation of user；
The specific calculating of a kind of appraisal procedure of lung image diagnosis report quality, health evaluation model HM includes: initial
Change the limbs of user and healthy threshold value H < ki, the vi > of internal organs, wherein ki ∈ { Ht, Lr, Sn, Lg, Rl }, vi is the health of internal organs
Assessed value is divided into qualitative index and two kinds of quantitative target according to health indicator difference；According to physical examination data analysis corrections health
Threshold value；There are certain zang-fu diseases in physical examination data, then the internal organs are negative value；The continuous broken line of analytical calculation projects data
Figure, calculates its slope variation value；If its attenuation rate is always positive number within the period, reflect that its internal organs is in rehabilitation state；If declining
There is fluctuation status within the period in lapse rate, then calculates its mean attenuation coefficient, and positive value then illustrates that its internal organs belongs to normal development, bears
It is worth this and illustrates that its living and diet there are problem, needs to correct；Internal organs after predicting several periods by average attenuation rate develop feelings
Condition.
The present invention has the advantage that because the medical data of patient regularly can be acquired and be input to department of computer science
For being compared with the medical information of other patients in system.It, can be by the treatment of patient by regular downward packet transaction
Amendment is to provide optimized treatment course of action.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (2)
1. a kind of assessment system of lung image diagnosis report quality, which is characterized in that including acquisition module, the acquisition module
It is connect respectively with First Hospital data, the second hospital database ... N hospital database, the secrecy for will be stored therein
Pulmonary cancer diagnosis record in individual database is read and by network transmission to main medical server, and the main medical server is also
Multiple clinic databases are connected, the patient information in secrecy individual database for will be stored in the database of clinic passes through net
Network is transferred to main medical server, and the patient information includes patient code and objective medical data；The network be it is wired or
Person's wireless network；Individual's private data library, which is summarized, deposits several patients with lung cancer record information, including heart Ht, liver Lr, spleen Sn, lung
The internal organs extent of this five aspect evaluation users of Lg, kidney Rl；And according to living and diet threshold value valuation functions flife, calculate
Health effect threshold parameter PHM；Prediction module is analyzed, according to diversification Medical Consumption data prediction model, analysis prediction user
Progression of the disease situation.
2. a kind of appraisal procedure of lung image diagnosis report quality, it is characterised in that: the specific calculating of health evaluation model HM
It include: the limbs of initialising subscriber and healthy threshold value H < ki, the vi > of internal organs, wherein ki ∈ { Ht, Lr, Sn, Lg, Rl }, vi are dirty
The health evaluating value of internal organs is divided into qualitative index and two kinds of quantitative target according to health indicator difference；It is analyzed according to physical examination data
Correct healthy threshold value；There are certain zang-fu diseases in physical examination data, then the internal organs are negative value；Analytical calculation projects data
Continuous line chart calculates its slope variation value；If its attenuation rate is always positive number within the period, reflect that its internal organs is in rehabilitation shape
State；If fluctuation status occurs within the period in attenuation rate, its mean attenuation coefficient is calculated, positive value then illustrates that its internal organs belongs to normally
Development, negative value this illustrate that its living and diet there are problem, needs to correct；Internal organs after predicting several periods by average attenuation rate
Development.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110807310A (en) * | 2019-10-25 | 2020-02-18 | 上海联影智能医疗科技有限公司 | Method, apparatus and storage medium for evaluating X-ray film analysis results |
| CN116403728A (en) * | 2023-06-09 | 2023-07-07 | 吉林大学第一医院 | Data processing device for medical treatment data and related equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063579A (en) * | 2014-05-16 | 2014-09-24 | 上海亿保健康管理有限公司 | Health dynamic prediction method and equipment based on multivariate medical consumption data |
| CN106372390A (en) * | 2016-08-25 | 2017-02-01 | 姹ゅ钩 | Deep convolutional neural network-based lung cancer preventing self-service health cloud service system |
-
2019
- 2019-06-14 CN CN201910517438.XA patent/CN110265118A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063579A (en) * | 2014-05-16 | 2014-09-24 | 上海亿保健康管理有限公司 | Health dynamic prediction method and equipment based on multivariate medical consumption data |
| CN106372390A (en) * | 2016-08-25 | 2017-02-01 | 姹ゅ钩 | Deep convolutional neural network-based lung cancer preventing self-service health cloud service system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110807310A (en) * | 2019-10-25 | 2020-02-18 | 上海联影智能医疗科技有限公司 | Method, apparatus and storage medium for evaluating X-ray film analysis results |
| CN110807310B (en) * | 2019-10-25 | 2024-02-27 | 上海联影智能医疗科技有限公司 | Method, apparatus and storage medium for evaluating X-ray film analysis results |
| CN116403728A (en) * | 2023-06-09 | 2023-07-07 | 吉林大学第一医院 | Data processing device for medical treatment data and related equipment |
| CN116403728B (en) * | 2023-06-09 | 2023-08-29 | 吉林大学第一医院 | Data processing device for medical treatment data and related equipment |
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