Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

BACKGROUND: Mood disorders are common and associated with significant morbidity and mortality. Better tools are needed for their diagnosis and treatment. Deeper phenotypic understanding of these disorders is integral to the development of such tools. This study is the first effort to use passively c...

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Detalhes bibliográficos
Publicado no:J Med Internet Res
Main Authors: Zulueta, John, Piscitello, Andrea, Rasic, Mladen, Easter, Rebecca, Babu, Pallavi, Langenecker, Scott A, McInnis, Melvin, Ajilore, Olusola, Nelson, Peter C, Ryan, Kelly, Leow, Alex
Formato: Artigo
Idioma:Inglês
Publicado em: JMIR Publications 2018
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Original Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6076371/
https://ncbi.nlm.nih.gov/pubmed/30030209
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/jmir.9775
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