This paper is in the following e-collection/theme issue:

E-Health / Health Services Research and New Models of Care (591) Machine Learning (1675) Artificial Intelligence (1654) Cardiology (185)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54990, first published .
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

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

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

Authors of this article:

Joana Seringa1 Author Orcid Image ;   Anna Hirata2 Author Orcid Image ;   Ana Rita Pedro1 Author Orcid Image ;   Rui Santana1 Author Orcid Image ;   Teresa Magalhães1 Author Orcid Image
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