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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2017
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| Materias: | |
| 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 |