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Personalized mood prediction from patterns of behavior collected with smartphones

Abstract 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 de...

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Збережено в:
Бібліографічні деталі
Автори: Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint
Формат: Artigo
Мова:Inglês
Опубліковано: Nature Portfolio 2024-02-01
Серія:npj Digital Medicine
Онлайн доступ:https://doi.org/10.1038/s41746-024-01035-6
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