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...

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Detalles Bibliográficos
Autores principales: Mikus, Adam, Hoogendoorn, Mark, Rocha, Artur, Gama, Joao, Ruwaard, Jeroen, Riper, Heleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Special issue for the ISRII 2017 meeting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096213/
https://www.ncbi.nlm.nih.gov/pubmed/30135774
http://dx.doi.org/10.1016/j.invent.2017.10.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096213/
https://www.ncbi.nlm.nih.gov/pubmed/30135774
http://dx.doi.org/10.1016/j.invent.2017.10.001

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