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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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:J Med Internet Res
Asıl Yazarlar: Zulueta, John, Piscitello, Andrea, Rasic, Mladen, Easter, Rebecca, Babu, Pallavi, Langenecker, Scott A, McInnis, Melvin, Ajilore, Olusola, Nelson, Peter C, Ryan, Kelly, Leow, Alex
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: JMIR Publications 2018
Konular:
Original Paper
Online Erişim: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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