Comprehensive human body health risk prediction method and system
A technology of risk prediction and health, applied in the field of risk assessment, to achieve the effect of improving the long-term risk prediction ability of diseases and improving the prediction ability
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no. 1 example
[0040] Such as figure 1 As shown, the first embodiment of the present invention proposes a method for predicting human comprehensive health risks, which includes the following steps:
[0041] S100, setting the type of disease that needs to be predicted.
[0042] Specifically, the types of diseases include cardiovascular diseases (ischemic heart disease, ischemic stroke), cancers (lung cancer, gastric cancer, colorectal cancer, liver cancer, esophageal cancer), diabetes and depression.
[0043] S102, setting the weight of each disease.
[0044] Specifically, according to the disease-disability-adjusted life-year indicator, and comprehensive indications such as disease prevalence, severity, mortality, and economic burden, a corresponding weight can be set for each disease. The Disability Adjusted Life Year (DALY) refers to all years of healthy life lost from disease onset to death, including Years of Life Lost (YLL) due to premature death and injuries due to disease. Years Lo...
no. 2 example
[0063] Such as Figure 4 As shown, the third embodiment of the present invention proposes a comprehensive human health risk prediction system 400 .
[0064] In this embodiment, the comprehensive human health risk prediction system 400 includes a setting module 402 , a collection module 404 , an evaluation module 406 , a calculation module 408 and an output module 410 .
[0065] The setting module 402 is used to set the types of diseases that need to be predicted.
[0066] Specifically, the types of diseases include cardiovascular diseases (ischemic heart disease, ischemic stroke), cancers (lung cancer, gastric cancer, colorectal cancer, liver cancer, esophageal cancer), diabetes and depression.
[0067] The setting module 402 is also used to set the weight of each disease.
[0068] Specifically, the setting module 402 can set corresponding weights for each disease based on the disease-disability-adjusted life-year index, and comprehensive indications such as disease prevalen...
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