SVM-based resident health level prediction method
A prediction method and technology of health level, applied in the field of resident health level prediction based on SVM, can solve the problems of many influencing factors, small sample size, and inability to guarantee prediction accuracy, and achieve the effect of high prediction accuracy
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[0042] Such as figure 1 As shown, residents' health level A is the first-level indicator, and its measurement standard is the mortality rate of various diseases, mainly including tumor mortality, endocrine, nutritional metabolism and immune disease mortality, mental illness mortality, cardiovascular and cerebrovascular disease mortality, respiratory There are 6 indicators for the mortality rate of systemic diseases and the mortality rate of digestive system diseases. Social public health service B1, medical security B2, and environmental level B3 are the second-level indicators, which are used as the standard for measuring the health level A of residents. The number of health technicians in the Center for Disease Control and Prevention per 1,000 population C1, the incidence of infectious diseases C2, the number of health supervision personnel per 1,000 population C3, the rate of pre-marital medical examinations C4, the rate of systematic management of pregnant women C5, the ra...
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