Application of Support Vector Machine for Prediction of Medication Adherence in Heart Failure Patients

Abstract

SVM modeling is a promising classification approach for predicting medication adherence in HF patients. This predictive model helps stratify the patients so that evidence-based decisions can be made and patients managed appropriately. Further, this approach should be further explored in other complex diseases using other common variables.