Ahmadi, M.N.; O’Neil, M.E.; Baque, E.; Boyd, R.N.; Trost, S.G.
Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models. Sensors 2020, 20, 3976.
https://doi.org/10.3390/s20143976
AMA Style
Ahmadi MN, O’Neil ME, Baque E, Boyd RN, Trost SG.
Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models. Sensors. 2020; 20(14):3976.
https://doi.org/10.3390/s20143976
Chicago/Turabian Style
Ahmadi, Matthew N., Margaret E. O’Neil, Emmah Baque, Roslyn N. Boyd, and Stewart G. Trost.
2020. "Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models" Sensors 20, no. 14: 3976.
https://doi.org/10.3390/s20143976
APA Style
Ahmadi, M. N., O’Neil, M. E., Baque, E., Boyd, R. N., & Trost, S. G.
(2020). Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models. Sensors, 20(14), 3976.
https://doi.org/10.3390/s20143976