Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior

Excess alcohol use is an important determinant of death and disability. Machine learning (ML)-driven interventions leveraging smart-breathalyzer data may help reduce these harms. We developed a digital phenotype of long-term smart-breathalyzer behavior to predict individuals’ breath alcohol concentr...

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Detalles Bibliográficos
Autores principales: Aschbacher, Kirstin, Hendershot, Christian S., Tison, Geoffrey, Hahn, Judith A., Avram, Robert, Olgin, Jeffrey E., Marcus, Gregory M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058037/
https://www.ncbi.nlm.nih.gov/pubmed/33879844
http://dx.doi.org/10.1038/s41746-021-00441-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058037/
https://www.ncbi.nlm.nih.gov/pubmed/33879844
http://dx.doi.org/10.1038/s41746-021-00441-4

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