| Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study T Mullick, A Radovic, S Shaaban, A Doryab JMIR Formative Research 6 (6), e35807, 2022 | 24 | 2022 |
| Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study O Lindhiem, M Goel, S Shaaban, KJ Mak, P Chikersal, J Feldman, ... JMIR Formative Research 6 (4), e35803, 2022 | 6 | 2022 |
| An Automated Machine Learning Pipeline for Monitoring and Forecasting Mobile Health Data A Bonaquist, M Grehan, O Haines, J Keogh, T Mullick, N Singh, ... 2021 Systems and Information Engineering Design Symposium (SIEDS), 1-6, 2021 | 6 | 2021 |
| LemurDx: Using Unconstrained Passive Sensing for an Objective Measurement of Hyperactivity in Children with no Parent Input R Arakawa, K Ahuja, K Mak, G Thompson, S Shaaban, O Lindhiem, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 3 | 2023 |
Tahsin MullickUniversity Of VirginiaVerified email at virginia.edu
