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Disease prediction system

A technology for predicting systems and diseases, applied in the fields of instrument, character and pattern recognition, health index calculation, etc., can solve the problems of insufficient understanding of cancer mechanism, insufficient authority of medical data sources, insufficient medical data volume, etc.

Pending Publication Date: 2020-04-03
金敏
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, there are some data processing schemes that use medical data for cancer diagnosis. However, these data processing schemes have more or less defects, such as insufficient understanding of cancer mechanisms, insufficient medical data, and medical data sources. not authoritative enough

Method used

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Embodiment Construction

[0036] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited by the exemplary embodiments described here.

[0037] Application overview

[0038] As mentioned above, at present, there are some data processing schemes using big data for cancer diagnosis, but these data processing schemes have more or less defects, for example, insufficient understanding of cancer mechanism, insufficient amount of medical data , The source of medical data is not authoritative enough.

[0039] The first common cancer diagnosis solution is genetic screening, that is, through data analysis of genetic testing items to determine the probability of a person's cancer incidence. This ...

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Abstract

The present invention discloses a disease prediction system. The disease prediction system comprises a data arrangement module, a data analysis module and a data management module. The data arrangement module is used for processing the acquired medical data of the personnel to obtain medical characteristic data of the personnel, and the medical characteristic data comprises blood routine characteristic data and partial blood biochemical characteristic data. The data analysis module is used for processing the medical characteristic data through a preset analysis model to determine the cancer prediction result of the person, and the preset analysis model at least comprises a gradient boosting decision tree model. The data management module is used for managing data in the disease predictionsystem. Thus, by means of professional knowledge in the cancer field, the cancer onset risk of a person can be determined by selecting specific medical characteristic data and processing the medical characteristic data through a mathematical model. Based on this, health assessment and health intervention can be performed on people to achieve prediction and prevention of cancer.

Description

technical field [0001] The present invention generally relates to the field of medical data processing, and in particular to a disease prediction system capable of analyzing specific medical characteristic data to determine a person's specific cancer prediction result. Background technique [0002] Currently, cancer is one of the leading causes of death in the Chinese population and is difficult to cure. Here, cancer is difficult to cure for many reasons. First of all, cancer is an "endogenous disease", and cancer cells are part of the patient's body. During the treatment process, the situation of "killing one thousand enemies and harming oneself eight hundred" is easy to appear. Second, cancer is not a single disease, but a combination of many diseases that are prone to metastasis. Cancer treatment is complex because no two cancers are exactly alike. In addition, drug resistance is prone to occur during cancer treatment, and the effect of the same drug will continue to d...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/50G16H50/70G06K9/62
CPCG16H50/30G16H50/70G16H50/50G06F18/214
Inventor 郭晓方金敏刘禹汎雷锦誌殷艳坤
Owner 金敏
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