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Citing this Article

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Published on 19.07.16 in Vol 3, No 2 (2016): Jul-Dec

This paper is in the following e-collection/theme issue:

Works citing "Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy"

According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.4340):

(note that this is only a small subset of citations)

  1. Killian M, Buchowski MS, Donnelly T, Burnette WB, Markham LW, Slaughter JC, Xu M, Crum K, Damon BM, Soslow JH. Beyond ambulation: Measuring physical activity in youth with Duchenne muscular dystrophy. Neuromuscular Disorders 2020;30(4):277
  2. Tambuyzer E, Vandendriessche B, Austin CP, Brooks PJ, Larsson K, Miller Needleman KI, Valentine J, Davies K, Groft SC, Preti R, Oprea TI, Prunotto M. Therapies for rare diseases: therapeutic modalities, progress and challenges ahead. Nature Reviews Drug Discovery 2020;19(2):93
  3. Catal C, Akbulut A. Automatic energy expenditure measurement for health science. Computer Methods and Programs in Biomedicine 2018;157:31
  4. Pires IM, Felizardo V, Pombo N, Drobics M, Garcia NM, Flórez-Revuelta F. Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer. Journal of Ambient Intelligence and Smart Environments 2018;10(4):315
  5. Fergus P, Hussain AJ, Hearty J, Fairclough S, Boddy L, Mackintosh K, Stratton G, Ridgers N, Al-Jumeily D, Aljaaf AJ, Lunn J. A machine learning approach to measure and monitor physical activity in children. Neurocomputing 2017;228:220