Improving Clinical Translation of Machine Learning Approaches Through Clinician-Tailored Visual Displays of Black Box Algorithms: Development and Validation

BACKGROUND: Despite the promise of machine learning (ML) to inform individualized medical care, the clinical utility of ML in medicine has been limited by the minimal interpretability and black box nature of these algorithms. OBJECTIVE: The study aimed to demonstrate a general and simple framework f...

Descripción completa

Detalles Bibliográficos
Autores principales: Wongvibulsin, Shannon, Wu, Katherine C, Zeger, Scott L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312245/
https://www.ncbi.nlm.nih.gov/pubmed/32515746
http://dx.doi.org/10.2196/15791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312245/
https://www.ncbi.nlm.nih.gov/pubmed/32515746
http://dx.doi.org/10.2196/15791

Ejemplares similares