APLUS: A Python library for usefulness simulations of machine learning models in healthcare

Despite the creation of thousands of machine learning (ML) models, the promise of improving patient care with ML remains largely unrealized. Adoption into clinical practice is lagging, in large part due to disconnects between how ML practitioners evaluate models and what is required for their succes...

Descripción completa

Detalles Bibliográficos
Autores principales: Wornow, Michael, Gyang Ross, Elsie, Callahan, Alison, Shah, Nigam H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309067/
https://www.ncbi.nlm.nih.gov/pubmed/36791900
http://dx.doi.org/10.1016/j.jbi.2023.104319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309067/
https://www.ncbi.nlm.nih.gov/pubmed/36791900
http://dx.doi.org/10.1016/j.jbi.2023.104319

Ejemplares similares