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Using electronic health records to predict severity of condition for congestive heart failure patients.

, , , , and . UbiComp Adjunct, page 1187-1192. ACM, (2014)

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WillSense: Adherence Barriers for Passive Sensing Systems That Track Eating Behavior., , , and . CHI Extended Abstracts, page 2329-2336. ACM, (2017)Battery optimization in smartphones for remote health monitoring systems to enhance user adherence., , , , , and . PETRA, page 8:1-8:4. ACM, (2014)NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions., , , , , , and . CoRR, (2019)Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization., , , , , , , and . IEEE J. Biomed. Health Informatics, 19 (1): 57-63 (2015)Using Pressure Map Sequences for Recognition of On Bed Rehabilitation Exercises., , , , , and . IEEE J. Biomed. Health Informatics, 18 (2): 411-418 (2014)Predicting Perceived Stress Through Mirco-EMAs and a Flexible Wearable ECG Device., , , and . UbiComp/ISWC Adjunct, page 106-109. ACM, (2018)Sensor Self-Report Alignment (SSRA): Reducing Sun Exposure Assessment Error., , , and . PerCom Workshops, page 1-6. IEEE, (2020)Estimating Caloric Intake in Bedridden Hospital Patients with Audio and Neck-Worn Sensors., , , , , and . CHASE, page 1-2. ACM / IEEE, (2018)Investigating barriers and facilitators to wearable adherence in fine-grained eating detection., , , , , , , and . PerCom Workshops, page 407-412. IEEE, (2017)I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing., , and . Inf. Fusion, (2018)