Cargando…
Developer Perspectives on Potential Harms of Machine Learning Predictive Analytics in Health Care: Qualitative Analysis
BACKGROUND: Machine learning predictive analytics (MLPA) is increasingly used in health care to reduce costs and improve efficacy; it also has the potential to harm patients and trust in health care. Academic and regulatory leaders have proposed a variety of principles and guidelines to address the...
Autores principales: | Nichol, Ariadne A, Sankar, Pamela L, Halley, Meghan C, Federico, Carole A, Cho, Mildred K |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690528/ https://www.ncbi.nlm.nih.gov/pubmed/37971798 http://dx.doi.org/10.2196/47609 |
Ejemplares similares
-
A Typology of Existing Machine Learning–Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis
por: Nichol, Ariadne A, et al.
Publicado: (2021) -
Not in my AI: Moral engagement and disengagement in health care AI development
por: Nichol, Ariadne A., et al.
Publicado: (2023) -
Diverse experts’ perspectives on ethical issues of using machine learning to predict HIV/AIDS risk in sub-Saharan Africa: a modified Delphi study
por: Nichol, Ariadne A, et al.
Publicado: (2021) -
The use of learning analytics and the potential risk of harm for K-12 students participating in digital learning environments
por: Beerwinkle, Andrea L.
Publicado: (2020) -
Clinicians’ Perspectives on Self-Harm in Pakistan: A Qualitative Study
por: Kiran, Tayyeba, et al.
Publicado: (2021)