Published on in Vol 10 , No 1 (2022) :January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/30557, first published
.

Journals
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- Currey D, Torous J. Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of Medical Internet Research 2023;25:e39258 View
- Currey D, Torous J. Digital phenotyping correlations in larger mental health samples: analysis and replication. BJPsych Open 2022;8(4) View
- Niemeijer K, Mestdagh M, Verdonck S, Meers K, Kuppens P. Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study. JMIR Formative Research 2023;7:e43296 View
- Currey D, Torous J. Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study. JMIR Research Protocols 2022;11(11):e37954 View
- Moscarelli M, Min J, Kopelowicz A, Torous J, Chavez O, Gómez-de-Regil L, Salvador-Carulla L, Ochoa S, Gamez M, Vila-Badia R, Romero-Lopez-Alberca C, Ahmed A. The scale for the assessment of the passively received experiences (PRE) in schizophrenia and digital mental health. Schizophrenia Research 2023;251:91 View
- Senaratne H, Oviatt S, Ellis K, Melvin G. A Critical Review of Multimodal-multisensor Analytics for Anxiety Assessment. ACM Transactions on Computing for Healthcare 2022;3(4):1 View
- Schmidt S, D'Alfonso S. Clinician perspectives on how digital phenotyping can inform client treatment. Acta Psychologica 2023;235:103886 View