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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076371/
https://www.ncbi.nlm.nih.gov/pubmed/30030209
http://dx.doi.org/10.2196/jmir.9775

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076371/
https://www.ncbi.nlm.nih.gov/pubmed/30030209
http://dx.doi.org/10.2196/jmir.9775

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