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

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

Souza et al [11] estimated EE during ambulatory activities for a study of 3 patients using a linear formula based on heart rate.Methods Subjects There were 7 subjects with DMD aged 6 to 10 years recruited from the regional neuromuscular clinic at the UC Davis

Amit Pande, Prasant Mohapatra, Alina Nicorici, Jay J Han

JMIR Rehabil Assist Technol 2016;3(2):e7


Correction: A Web-Based Acceptance-Facilitating Intervention for Identifying Patients’ Acceptance, Uptake, and Adherence of Internet- and Mobile-Based Pain Interventions: Randomized Controlled Trial

Correction: A Web-Based Acceptance-Facilitating Intervention for Identifying Patients’ Acceptance, Uptake, and Adherence of Internet- and Mobile-Based Pain Interventions: Randomized Controlled Trial

In Reference 67, the author list “Venkatesh, Morris, Davis, Davis” has been changed to “Venkatesh V, Morris MG, Davis GB, Davis FD”. In Reference 71, “van DVR” has been changed to “van der Vaart R”.

Jiaxi Lin, Bianca Faust, David Daniel Ebert, Lena Krämer, Harald Baumeister

J Med Internet Res 2019;21(2):e12015