Using passively collected sedentary behavior to predict hospital readmission
Author:
Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA
2. University of Pittsburgh, Pittsburgh, PA
Funder
The National Cancer Institute (NCI)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2971648.2971750
Reference21 articles.
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2. Sedentary Time and Its Association With Risk for Disease Incidence, Mortality, and Hospitalization in Adults
3. Chinapaw M. J. de Niet M. Verloigne M. De Bourdeaudhuij I. Brug J. & Altenburg T. M. From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth (2014) PLoS One 9(11) e111205. Chinapaw M. J. de Niet M. Verloigne M. De Bourdeaudhuij I. Brug J. & Altenburg T. M. From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth (2014) PLoS One 9(11) e111205.
4. Cook D. J. Thompson J. E. Prinsen S. K. Dearani J. A. & Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. The Annals of thoracic surgery (2013) 96(3): 1057--1061. Cook D. J. Thompson J. E. Prinsen S. K. Dearani J. A. & Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. The Annals of thoracic surgery (2013) 96(3): 1057--1061.
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