The accuracy of passive phone sensors in predicting daily mood.

Pratap, Abhishek; Atkins, David C; Renn, Brenna N; Tanana, Michael J; Mooney, Sean D; Anguera, Joaquin A; Areán, Patricia A

Pratap, Abhishek; Atkins, David C; Renn, Brenna N; Tanana, Michael J; Mooney, Sean D; Anguera, Joaquin A; Areán, Patricia A.

Afiliação

Pratap A; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington.
Atkins DC; Sage Bionetworks, Seattle, Washington.
Renn BN; Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, Washington.
Tanana MJ; Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, Washington.
Mooney SD; Social Research Institute, University of Utah, Salt Lake City, Utah.
Anguera JA; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington.
Areán PA; Department of Neurology, University of California, San Francisco (UCSF), San Francisco, California.

Depress Anxiety ; 36(1): 72-81, 2019 01.

Article em En | MEDLINE | ID: mdl-30129691

Assuntos

Afeto; Smartphone/estatística & dados numéricos; Adulto; Depressão/diagnóstico; Depressão/psicologia; Depressão/terapia; Feminino; Humanos; Masculino; Estudos Prospectivos; Reprodutibilidade dos Testes; Autorrelato

Palavras-chave

ambulatory; classification; depression; geographic positioning systems; mobile health (mHealth); monitoring; passive data collection; smartphones

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Afeto / Smartphone Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Depress Anxiety Assunto da revista: PSIQUIATRIA Ano de publicação: 2019 Tipo de documento: Article

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