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Can big data solve a big problem? Reporting the obesity data landscape in line with the Foresight obesity system map.
Morris, Michelle A; Wilkins, Emma; Timmins, Kate A; Bryant, Maria; Birkin, Mark; Griffiths, Claire.
Affiliation
  • Morris MA; Leeds Institute for Data Analytics and School of Medicine, University of Leeds, Leeds, LS2 9JT, UK. m.morris@leeds.ac.uk.
  • Wilkins E; School of Sport, Leeds Beckett University, Leeds, LS6 3QQ, UK.
  • Timmins KA; School of Sport and Exercise Science, College of Social Science, University of Lincoln, Lincoln, LN6 7TS, UK.
  • Bryant M; Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, LS2 9JT, UK.
  • Birkin M; Leeds Institute for Data Analytics and School of Geography, University of Leeds, Leeds, LS2 9JT, UK.
  • Griffiths C; School of Sport, Leeds Beckett University, Leeds, LS6 3QQ, UK.
Int J Obes (Lond) ; 42(12): 1963-1976, 2018 12.
Article in En | MEDLINE | ID: mdl-30242238
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomedical Research / Big Data / Obesity Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Obes (Lond) Journal subject: METABOLISMO Year: 2018 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomedical Research / Big Data / Obesity Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Obes (Lond) Journal subject: METABOLISMO Year: 2018 Document type: Article Affiliation country: Country of publication: