Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study

Abstract

Classifiers learned automatically from patient data can be joined with decision analysis to guide the allocation of post-discharge support to CHF patients. Such analyses are especially valuable in the common situation where it is not economically feasible to provide programs to all patients.