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Medical data mining method for preventive treatment of disease

A technology for medical data and pre-disease treatment, applied in the field of medical data mining, can solve problems such as unhelpful disease prediction

Inactive Publication Date: 2018-04-20
B SOFT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] However, when the symptoms or test indicators are positive, the disease often has already occurred, and Internet means can only predict and control the spread of group diseases, but are not helpful for individual disease prediction

Method used

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  • Medical data mining method for preventive treatment of disease
  • Medical data mining method for preventive treatment of disease
  • Medical data mining method for preventive treatment of disease

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Embodiment Construction

[0080] The core idea of ​​the present invention is to analyze the historical sign data of each disease patient, obtain the trend model of the patient's sign change from the healthy state to the disease, and then use the trend model to track the sign data of the healthy population. An individual who conforms to the trend model can give him (her) an early warning. Several key points to realize this trend model are:

[0081] The timing of historical sign data is not uniform. The time and frequency for checking a certain sign index are not fixed and the frequency is also different for different people. In order to mine the correlation, it is necessary to process the historical sign data;

[0082] Consider the underlying signs that vary from individual to individual. Different individuals have certain differences in their basic signs, and there will be large errors in using the average sign data of the entire population to measure individual signs.

[0083] Model with noise fil...

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Abstract

The invention discloses a medical data mining method for preventive treatment of disease. According to the method of the invention, historical physical data of a patient with each disease are analyzed. A physical sign change trend model of the patient from a healthy state and a disease state is acquired. Then the trend model is used for tracking the physical sign data of healthy population. Once an individual which accords with the trend model is found, early-warning can be performed on him (her). The medical data mining method can realize effective identification to the change trend of physical sign data of the individual and early-warning. Furthermore the medical data mining method settles problems such as individual basic physical sign difference, different time sequence of the physicalsign data, random and periodical noise, etc. The method is applied in medical examination data screening of the healthy population and has advantages of realizing finding of the individual with disease potential as early as possible, improving preventing and treating effect, and reducing treating cost.

Description

technical field [0001] The invention relates to a medical data mining method for preventing diseases. Background technique [0002] Medical big data conducts long-term tracking, analysis and processing of a large number of historical cases and the sign data of healthy people, and can learn the changing trend of sign data and discover groups with higher risk of illness. Targeted prevention and early detection measures for these groups can effectively reduce the incidence rate or make the detection time earlier. Borrowing the concept of preventing disease from traditional Chinese medicine, the patent of this invention proposes a medical data mining method for preventing disease. [0003] Currently, traditional statistical methods are commonly used to detect diseases, such as the sensitivity and specificity of statistical index A to disease g. in: [0004] Sensitivity = Number of True Positives / (Number of True Positives + Number of False Negatives)*100% [0005] Specificity...

Claims

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Application Information

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IPC IPC(8): G16H50/70
Inventor 张吕峥高春蓉方宝林余小益朱旭东
Owner B SOFT CO LTD
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