Research on Discovery Methods of Diseases Complications Based on Data Mining:Illustrated by the Example of Type 2 Diabetes
In order to diagnose and predict the complications of clinical complex diseases more accurately and assist doctors and patients to make scientific decision and treatment,this paper,taking type 2 diabetes as an example,explores the methods of discovery of disease complications based on data mining technology of association rules.The results show 18 important strong association rules,revealing the link mode of common complications of type 2 diabetes,which has been verified clinically by medical experts.The research methods of this paper have significant reference meaning for the discovery of complex disease complications,the construction of disease association knowledge base,and the prevention and treatment of complications.
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