User-centred design for machine learning in health care: a case study from care management

OBJECTIVES: Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical pain point. METHODS: We introduce a practical toolk...

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Detalles Bibliográficos
Autores principales: Seneviratne, Martin G, Li, Ron C, Schreier, Meredith, Lopez-Martinez, Daniel, Patel, Birju S, Yakubovich, Alex, Kemp, Jonas B, Loreaux, Eric, Gamble, Paul, El-Khoury, Kristel, Vardoulakis, Laura, Wong, Doris, Desai, Janjri, Chen, Jonathan H, Morse, Keith E, Downing, N Lance, Finger, Lutz T, Chen, Ming-Jun, Shah, Nigam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Implementer Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557254/
https://www.ncbi.nlm.nih.gov/pubmed/36220304
http://dx.doi.org/10.1136/bmjhci-2022-100656

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