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Pilot study using wearable and mobile app data in patients with the sickle cell disease to describe and predict pain., , , , , and . AMIA, AMIA, (2017)Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data., , , , and . BIBM, page 569-576. IEEE, (2019)Hybrid Statistical and Mechanistic Mathematical Model Guides Mobile Health Intervention for Chronic Pain., , , , , and . J. Comput. Biol., 24 (7): 675-688 (2017)Use of consumer wearables to monitor and predict pain in patients with sickle cell disease., , , , , , , , and . Frontiers Digit. Health, (May 2023)Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction., , , and . CoRR, (2023)Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data., , , , , and . J. Am. Medical Informatics Assoc., 28 (7): 1518-1525 (2021)Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples., , , , , and . CoRR, (2021)Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease., , , , and . PLoS Comput. Biol., (2021)Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits., , , , , , and . ICPR Workshops (2), volume 12662 of Lecture Notes in Computer Science, page 77-85. Springer, (2020)Measuring Pain in Sickle Cell Disease using Clinical Text., , , , , , , and . EMBC, page 5838-5841. IEEE, (2020)