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                                       Details for article 17 of 21 found articles
 
 
  Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data
 
 
Title: Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data
Author: Mikus, Adam
Hoogendoorn, Mark
Rocha, Artur
Gama, Joao
Ruwaard, Jeroen
Riper, Heleen
Appeared in: Internet interventions
Paging: Volume 12 (2018) nr. C pages 105-110
Year: 2018
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 17 of 21 found articles
 
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