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A Deep Learning Approach for Recognizing Activity of Daily Living (ADL) for Senior Care: Exploiting Interaction Dependency and Temporal Patterns.

, , , and . MIS Q., (2021)

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Motion Sensor-Based Assessment on Fall Risk and Parkinson's Disease Severity: A Deep Multi-Source Multi-Task Learning (DMML) Approach., , , and . ICHI, page 174-179. IEEE Computer Society, (2018)Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach., , , , and . MIS Q., 41 (2): 473-495 (2017)A Deep Learning Approach for Recognizing Activity of Daily Living (ADL) for Senior Care: Exploiting Interaction Dependency and Temporal Patterns., , , and . MIS Q., (2021)A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care., , and . J. Biomed. Informatics, (2018)Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach., , , , , and . J. Manag. Inf. Syst., 38 (4): 1095-1121 (2021)Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach., , , , , and . ISI, page 110-115. IEEE, (2019)MedTime: A temporal information extraction system for clinical narratives., , and . J. Biomed. Informatics, 46 (6): S20-S28 (2013)Time-to-Event Predictive Modeling for Chronic Conditions Using Electronic Health Records., , , , and . IEEE Intelligent Systems, 29 (3): 14-20 (2014)Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring., , and . IEEE J. Biomed. Health Informatics, 22 (6): 1847-1853 (2018)