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Article

Personalized Mood Prediction from Patterns of Behavior Collected with Smartphones

2022-10-13

Abstract excerpt

Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from smartphones and wearable devices, to infer depressive mood. However, most digital phenotype studies suffer from poor replicability, often fail to detect clinically relevant events, and use measures of depression that are not validated or suitable for collecting large and lo...

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Literature Corpus work
39a5f6fe-624e-5d4d-9e57-89856c17bf04
DOI
10.1101/2022.10.12.22281007
Open publication

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Personalized Mood Prediction from Patterns of Behavior Collected with SmartphonesDOI 10.1101/2022.10.12.22281007
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