Interpretable AI-driven multi-objective risk prediction in heart failure patients with thyroid dysfunction.

Journal: Frontiers in digital health
Published Date: Jan 1, 2025

Abstract

INTRODUCTION: Heart Failure (HF) complicated by thyroid dysfunction presents a complex clinical challenge, demanding more advanced risk stratification tools. In this study, we propose an AI-driven machine learning (ML) approach to predict mortality and hospitalization risk in HF patients with coexisting thyroid disorders.

Authors

  • Massimo Iacoviello
    Department of Cardiothoracic, Cardiology Unit, Policlinic University Hospital, Bari, Italy.
  • Vito Santamato
    Department of Agriculture, Food, Natural Resources and Engineering Sciences, University of Foggia, Foggia, Italy.
  • Alessandro Pagano
    Department of Computer Science, University of Bari Aldo Moro, Bari, Italy.
  • Agostino Marengo
    Department of Agriculture, Food, Natural Resources and Engineering Sciences, University of Foggia, Foggia, Italy.

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