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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |