Testing a Novel Design Framework for Patient-Facing Machine Learning-Based Predictions of Heart Failure Decompensation.

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Bibliographic Details
Title: Testing a Novel Design Framework for Patient-Facing Machine Learning-Based Predictions of Heart Failure Decompensation.
Authors: Reading Turchioe M; Columbia University School of Nursing, New York, New York, USA. Electronic address: Mr3554@cumc.columbia.edu., Bang SH; Columbia University School of Nursing, New York, New York, USA., Shamnath A; Columbia University School of Nursing, New York, New York, USA., Lai S; Columbia University School of Nursing, New York, New York, USA., Yee N; Boston Scientific Corporation, Marlborough, Massachusetts, USA., Lindmark J; Boston Scientific Corporation, Marlborough, Massachusetts, USA., Federak J; Boston Scientific Corporation, Marlborough, Massachusetts, USA., Averina V; Boston Scientific Corporation, Marlborough, Massachusetts, USA., Slotwiner D; Weill Cornell Medicine, New York, New York, USA.
Source: JACC. Advances [JACC Adv] 2025 Oct; Vol. 4 (10 Pt 2), pp. 102171. Date of Electronic Publication: 2025 Sep 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918419284106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2772-963X (Electronic) Linking ISSN: 2772963X NLM ISO Abbreviation: JACC Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2772-963X
DOI:10.1016/j.jacadv.2025.102171