Publications

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

Document Type

Article

Year published

2018

Published

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

Volume: 12, Pages: 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, Sponsors: Int Soc Res Internet Intervent

Indexing

Wos^®

Scopus^®

Crossref^®22

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1016/j.invent.2017.10.001

SCOPUS: 2-s2.0-85031319063

Wos: WOS:000457134800013

Source Identifiers

ISSN: 2214-7829

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

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

Useful Links

Get Help

Federated Authentication (Click on the image)

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

Useful Links

Get Help