Embracing the uncertainty in human–machine collaboration to support clinical decision-making for mental health conditions

Two significant obstacles exist preventing the widespread usage of Deep Learning (DL) models for predicting healthcare outcomes in general and mental health conditions in particular. Firstly, DL models do not quantify the uncertainty in their predictions, so clinicians are unsure of which prediction...

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Detalles Bibliográficos
Autores principales: Popat, Ram, Ive, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508184/
https://www.ncbi.nlm.nih.gov/pubmed/37731823
http://dx.doi.org/10.3389/fdgth.2023.1188338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508184/
https://www.ncbi.nlm.nih.gov/pubmed/37731823
http://dx.doi.org/10.3389/fdgth.2023.1188338

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