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Clinical state tracking in serious mental illness through computational analysis of speech
Individuals with serious mental illness experience changes in their clinical states over time that are difficult to assess and that result in increased disease burden and care utilization. It is not known if features derived from speech can serve as a transdiagnostic marker of these clinical states....
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6961853/ https://ncbi.nlm.nih.gov/pubmed/31940347 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0225695 |
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