Intelligent ZHENG classification of hypertension depending on ML-kNN and information fusion

Abstract

Hypertension is one of the major causes of heart cerebrovascular diseases. With a good accumulation of hypertension clinical data on hand, research on hypertensions ZHENG differentiation is an important and attractive topic, as Traditional Chinese Medicine (TCM) lies primarily in treatment based on ZHENG differentiation. From the view of data mining, ZHENG differentiation is modeled as a classification problem. In this paper, ML-kNNa multilabel learning modelis used as the classification model for hypertension. Feature-level information fusion is also used for further utilization of all information. Experiment results show that ML-kNN can model the hypertensions ZHENG differentiation well. Information fusion helps improve models performance. Copyright © 2012 Guo-Zheng Li et al.