Health Care Professionals and Data Scientists' Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study.

Journal: Journal of medical Internet research
PMID: 39832170

Abstract

BACKGROUND: Heart failure (HF) is a significant global health problem, affecting approximately 64.34 million people worldwide. The worsening of HF, also known as HF decompensation, is a major factor behind hospitalizations, contributing to substantial health care costs related to this condition.

Authors

  • Joana Seringa
    NOVA National School of Public Health, Universidade NOVA Lisboa, Lisbon, Portugal.
  • Anna Hirata
    NOVA National School of Public Health, NOVA University Lisbon, Lisbon, Portugal.
  • Ana Rita Pedro
    NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal.
  • Rui Santana
    NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, NOVA University Lisbon, Lisbon, Portugal.
  • Teresa Magalhaes
    NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University of Lisbon, Lisbon, Portugal PT.

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