Risk factor fusion for predicting multifactorial diseases

摘要

A generalized classification methodology which employs risk factor fusion, normalization, DKLT based transformation, feature selection, and parametric classifier design is developed to predict the presence or absence of a multifactorial disease. The validity of method is demonstrated by applying it to predict the occurrence of gout in patients.