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The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.

, , , , , , , , , , and . IEEE J. Biomed. Health Informatics, 28 (4): 2304-2313 (April 2024)

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UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety., , , , , and . EMBC, page 1141-1144. IEEE, (2022)Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An epidemiological modeling study., , , , , , , , , and 6 other author(s). Patterns, 3 (8): 100572 (2022)Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy., , , , , and . EMBC, page 1-4. IEEE, (2023)How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway., , , , , , , , , and 4 other author(s). Sensors, 22 (18): 6982 (2022)Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data., , , , , , , , and . EMBC, page 1-4. IEEE, (2023)The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health., , , , , , , , , and 1 other author(s). IEEE J. Biomed. Health Informatics, 28 (4): 2304-2313 (April 2024)Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning., , , , , , , , , and . EMBC, page 1-4. IEEE, (2023)