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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Bibliographic Details
Published in:JAMIA open 2020-04, Vol.3 (1), p.9-15
Main Authors: Walsh, Colin G, Chaudhry, Beenish, Dua, Prerna, Goodman, Kenneth W, Kaplan, Bonnie, Kavuluru, Ramakanth, Solomonides, Anthony, Subbian, Vignesh
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Behavioral health care
Computational linguistics
Health aspects
Language processing
Natural language interfaces
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