Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population

• Christopher B. Thornton ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: chris.thornton@newcastle.ac.uk

  Affiliation Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, United Kingdom

  https://orcid.org/0000-0003-0055-5500

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• Niina Kolehmainen,

  Roles Conceptualization, Data curation, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

  Affiliations Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, United Kingdom, Great North Children’s Hospital, Newcastle upon Tyne NHS Hospitals Trust, Unite Kingdom

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• Kianoush Nazarpour

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Institute for Adaptive and Neural Computation, School of Informatics, The University of Edinburgh, United Kingdom

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