Characteristic Pattern Study of Coronary Heart Disease with Blood Stasis Syndrome Based on Decision Tree

Coronary heart disease (CHD) remains the single leading cause of death of adults worldwide, but the traditional related factors can not explain the whole situations. Unstable angina (UA) is a type of CHD. The aim of this study was to establish clinical diagnose pattern for UA with blood stasis syndrome. Twenty-two biological parameters were detected on seven hundreds and seventy-six unstable angina with or without blood stasis syndrome patients. Using decision tree, we gain a pattern made by four biological parameters which could distinguish unstable angina with blood stasis syndrome patients from the none-blood stasis syndrome patients. The diagnosis accuracy could reach 82%. The obtained patterns are validated by 3-fold cross validation. Though the diagnosis accuracy is not very high, the pattern may be useful in the syndrome clinical diagnosis in the future.

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