Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/39546, first published
.
Journals
- Solsky I, Haynes A. Beyond the physical: Digital phenotyping and the complexity of surgical recovery. Surgery 2024;176(2):519 View
- Cho M, Park D, Choo M, Kim J, Han D. Development and Initial Evaluation of a Digital Phenotype Collection System for Adolescents: Proof-of-Concept Study. JMIR Formative Research 2024;8:e59623 View
- Wierenga H, Pagoni K, Skalkidou A, Papadopoulos F, Geusens F. Dropping out of a peripartum depression mHealth study: participants’ motives and suggestions for improvement. BMC Medical Research Methodology 2025;25(1) View
- Jeong J, Jeon Y, Kim H, Yeom J, Shin Y, Kim S, Pack S, Lee H, Cheong T, Cho C. Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data. Scientific Reports 2025;15(1) View
Conference Proceedings
- Zamudio L, Monarca I, Favela J, Tentori M. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. Towards using Digital Phenotypes in Mobile Tactile Stimulation for Children with ASD View