Cargando…
Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study
BACKGROUND: Machine learning (ML)–driven clinical decision support (CDS) continues to draw wide interest and investment as a means of improving care quality and value, despite mixed real-world implementation outcomes. OBJECTIVE: This study aimed to explore the factors that influence the integration...
Autores principales: | Wang, Sabrina M, Hogg, H D Jeffry, Sangvai, Devdutta, Patel, Manesh R, Weissler, E Hope, Kellogg, Katherine C, Ratliff, William, Balu, Suresh, Sendak, Mark |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557008/ https://www.ncbi.nlm.nih.gov/pubmed/37733427 http://dx.doi.org/10.2196/43963 |
Ejemplares similares
-
Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study
por: Sandhu, Sahil, et al.
Publicado: (2020) -
Presenting machine learning model information to clinical end users with model facts labels
por: Sendak, Mark P., et al.
Publicado: (2020) -
Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities
por: Sendak, Mark, et al.
Publicado: (2019) -
Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation
por: Sandhu, Sahil, et al.
Publicado: (2023) -
Multistakeholder Perspectives on Maternal Text Messaging Intervention in Uganda: Qualitative Study
por: Ilozumba, Onaedo, et al.
Publicado: (2018)