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Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence
Effective implementation of artificial intelligence in behavioral healthcare delivery depends on overcoming challenges that are pronounced in this domain. Self and social stigma contribute to under-reported symptoms, and under-coding worsens ascertainment. Health disparities contribute to algorithmi...
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| Publicado no: | JAMIA Open |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7309258/ https://ncbi.nlm.nih.gov/pubmed/32607482 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooz054 |
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