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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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Dades bibliogràfiques
Publicat a:NPJ Digit Med
Autors principals: Aschbacher, Kirstin, Hendershot, Christian S., Tison, Geoffrey, Hahn, Judith A., Avram, Robert, Olgin, Jeffrey E., Marcus, Gregory M.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2021
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8058037/
https://ncbi.nlm.nih.gov/pubmed/33879844
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00441-4
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