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JMIR Formative Research|June 24, 2022
Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning-Based Exploratory StudyTahsin Mullick, Ana Radovic, Sam Shaaban, et al.JMIR AI|June 14, 2024
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized ModelingTahsin Mullick, Sam Shaaban, Ana Radovic, et al.IEEE Transactions on Haptics|December 22, 2025
Evaluating the Physics and Repeatability of Human Brushers in Delivering Affective TouchZackary T Landsman, Matthew Clark, Seongkook Heo, et al.Sensors (Basel, Switzerland)|November 27, 2021
Prediction of Hospital Readmission from Longitudinal Mobile Data StreamsChen Qian, Patraporn Leelaprachakul, Matthew Landers, et al.JMIR Pediatrics and Parenting|June 17, 2020
Digital Approaches to Remote Pediatric Health Care Delivery During the COVID-19 Pandemic: Existing Evidence and a Call for Further ResearchSherif M Badawy, Ana RadovicJournal of Medical Internet Research|December 21, 2017
Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory StudyCarissa A Low, Anind K Dey, Denzil Ferreira, et al.JMIR Pediatrics and Parenting|December 8, 2020
Social Media Use and Monitoring for Adolescents With Depression and Implications for the COVID-19 Pandemic: Qualitative Study of Parent and Child PerspectivesCandice Biernesser, Gerald Montano, Elizabeth Miller, et al.JMIR Formative Research|July 22, 2021
Experience of Peer Bloggers Using a Social Media Website for Adolescents With Depression or Anxiety: Proof-of-Concept StudySana Karim, Kimberly Hsiung, Maria Symonds, et al.Journal of Adolescence|December 21, 2016
Depressed adolescents' positive and negative use of social mediaAna Radovic, Theresa Gmelin, Bradley D Stein, et al.Pageof 5