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Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy.

, , , , , and . EMBC, page 1-4. IEEE, (2023)

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Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning., , , , , , and . EMBC, page 3983-3986. IEEE, (2018)Mobile Biofeedback Therapy for the Treatment of Panic Attacks: A Pilot Feasibility Study., , , and . BSN, page 1-4. IEEE, (2019)Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning., , , , , , , , , and . EMBC, page 1-4. IEEE, (2023)Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood., , , , , , , , and . IEEE J. Biomed. Health Informatics, 23 (6): 2294-2301 (2019)Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy., , , , , and . EMBC, page 1-4. IEEE, (2023)Advancing Digital Medicine with Wearables in the Wild., and . Sensors, 22 (12): 4576 (2022)Movements Indicate Threat Response Phases in Children at Risk for Anxiety., , , , , , , and . IEEE J. Biomed. Health Informatics, 21 (5): 1460-1465 (2017)UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety., , , , , and . EMBC, page 1141-1144. IEEE, (2022)Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks., , , , , and . IEEE J. Biomed. Health Informatics, 25 (3): 656-662 (2021)Wearable sensors and machine learning diagnose anxiety and depression in young children., , , , , , and . BHI, page 410-413. IEEE, (2018)