Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation
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- Monica A Konerman & Lauren A Beste & Tony Van & Boang Liu & Xuefei Zhang & Ji Zhu & Sameer D Saini & Grace L Su & Brahmajee K Nallamothu & George N Ioannou & Akbar K Waljee, 2019. "Machine learning models to predict disease progression among veterans with hepatitis C virus," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-14, January.
- Fatemeh Rahimian & Gholamreza Salimi-Khorshidi & Amir H Payberah & Jenny Tran & Roberto Ayala Solares & Francesca Raimondi & Milad Nazarzadeh & Dexter Canoy & Kazem Rahimi, 2018. "Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-18, November.
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- Veronica A. Swanson & Vicky Chan & Betsaida Cruz-Coble & Celeste M. Alcantara & Douglas Scott & Mike Jones & Daniel K. Zondervan & Naveen Khan & Jan Ichimura & David J. Reinkensmeyer, 2021. "A Pilot Study of a Sensor Enhanced Activity Management System for Promoting Home Rehabilitation Exercise Performed during the COVID-19 Pandemic: Therapist Experience, Reimbursement, and Recommendation," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
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mobile rehabilitation; disability; rehabilitation; information and communication technology;All these keywords.
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