Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data

Technology driven interventions provide us with an increasing amount of fine-grained data about the patient. This data includes regular ecological momentary assessments (EMA) but also response times to EMA questions by a user. When observing this data, we see a huge variation between the patterns ex...

Full description

Bibliographic Details
Main Authors: Adam Mikus, Mark Hoogendoorn, Artur Rocha, Joao Gama, Jeroen Ruwaard, Heleen Riper
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:Internet Interventions
Online Access:http://www.sciencedirect.com/science/article/pii/S2214782917300799