A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction

A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction Machine learning has shown utility in detecting patterns within large, unstructured, and complex datasets. One of the promising applications of machine learning is in precision medicine, where disease risk is predicted using patient genetic data. However, creating an accurate prediction model based on genotype data remains challenging due to the so-called "curse of dimensionality" (i.e., extensively larger ...