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Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study

Haider Raza, Shang-ming Zhou Orcid Logo, Rebecca Hill, Ronan A Lyons, Sinead Brophy

The Lancet, Volume: 390, Start page: S74

Swansea University Author: Shang-ming Zhou Orcid Logo

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DOI (Published version): 10.1016/S0140-6736(17)33009-X

Published in: The Lancet
ISSN: 01406736
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa49929
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first_indexed 2019-04-09T13:04:49Z
last_indexed 2019-05-01T11:40:08Z
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spelling 2019-04-26T15:08:17.4699050 v2 49929 2019-04-08 Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false 2019-04-08 BMS Journal Article The Lancet 390 S74 01406736 31 12 2017 2017-12-31 10.1016/S0140-6736(17)33009-X COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2019-04-26T15:08:17.4699050 2019-04-08T10:12:17.6985001 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Haider Raza 1 Shang-ming Zhou 0000-0002-0719-9353 2 Rebecca Hill 3 Ronan A Lyons 4 Sinead Brophy 5
title Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
spellingShingle Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
Shang-ming Zhou
title_short Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
title_full Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
title_fullStr Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
title_full_unstemmed Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
title_sort Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
author_id_str_mv 118578a62021ba8ef61398da0a8750da
author_id_fullname_str_mv 118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou
author Shang-ming Zhou
author2 Haider Raza
Shang-ming Zhou
Rebecca Hill
Ronan A Lyons
Sinead Brophy
format Journal article
container_title The Lancet
container_volume 390
container_start_page S74
publishDate 2017
institution Swansea University
issn 01406736
doi_str_mv 10.1016/S0140-6736(17)33009-X
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
published_date 2017-12-31T04:01:12Z
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score 11.036706

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