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Predicting Short Term Mood Developments Among Depressed Patients Using Adherence and Ecological Momentary Assessment Data

AuthID
P-00N-55Q

Author(s)

Mikus, A

Hoogendoorn, M

Rocha, A

Gama, J

Ruwaard, J

Riper, H

Tipo de Documento

Article

Year published

2018

Publicado

in INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH, ISSN: 2214-7829

Volume: 12, Páginas: 105-110 (6)

Conference

9Th Scientific Meeting of the International-Society-For-Research-On-Internet-Interventions (Isrii), Date: SEP 12-14, 2017, Location: Berlin, GERMANY, Patrocinadores: Int Soc Res Internet Intervent

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Publication Identifiers

DOI: 10.1016/j.invent.2017.10.001

SCOPUS: 2-s2.0-85031319063

Wos: WOS:000457134800013

Source Identifiers

ISSN: 2214-7829

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Predicting Short Term Mood Developments Among Depressed Patients Using Adherence and Ecological Momentary Assessment Data

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Predicting Short Term Mood Developments Among Depressed Patients Using Adherence and Ecological Momentary Assessment Data

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