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A Stroke Risk Detection: Improving Hybrid Feature Selection Method

A Stroke Risk Detection: Improving Hybrid Feature Selection Method

In this study, we proposed a new hybrid feature selection model called WRHFS, which selects features by integrating various filter and wrapper methods. Being different from previous hybrid methods, WRHFS selects the best n filter models (in this study, n=3) from a candidate set to guide a wrapper model. Figure 1 shows the process of WRHFS, which consists of 4 parts. WRHFS selects the top 3 filter methods from a set of candidate filter models.

Yonglai Zhang, Yaojian Zhou, Dongsong Zhang, Wenai Song

J Med Internet Res 2019;21(4):e12437