A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study

BACKGROUND: Machine learning approaches, including deep learning, have demonstrated remarkable effectiveness in the diagnosis and prediction of diabetes. However, these approaches often operate as opaque black boxes, leaving health care providers in the dark about the reasoning behind predictions. T...

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Detalles Bibliográficos
Autores principales: Hendawi, Rasha, Li, Juan, Roy, Souradip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682931/
https://www.ncbi.nlm.nih.gov/pubmed/37955948
http://dx.doi.org/10.2196/50328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682931/
https://www.ncbi.nlm.nih.gov/pubmed/37955948
http://dx.doi.org/10.2196/50328

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