No Cover Image

Journal article 571 views

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

Full text not available from this repository: check for access using links below.

Check full text

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

Published in: The Lancet
ISSN: 01406736
Published: 2017
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa49929
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-04-09T13:04:49Z
last_indexed 2019-05-01T11:40:08Z
id cronfa49929
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-04-26T15:08:17.4699050</datestamp><bib-version>v2</bib-version><id>49929</id><entry>2019-04-08</entry><title>Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study</title><swanseaauthors><author><sid>118578a62021ba8ef61398da0a8750da</sid><ORCID>0000-0002-0719-9353</ORCID><firstname>Shang-ming</firstname><surname>Zhou</surname><name>Shang-ming Zhou</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-04-08</date><deptcode>BMS</deptcode><abstract/><type>Journal Article</type><journal>The Lancet</journal><volume>390</volume><paginationStart>S74</paginationStart><publisher/><issnPrint>01406736</issnPrint><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-12-31</publishedDate><doi>10.1016/S0140-6736(17)33009-X</doi><url/><notes/><college>COLLEGE NANME</college><department>Biomedical Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BMS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2019-04-26T15:08:17.4699050</lastEdited><Created>2019-04-08T10:12:17.6985001</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Haider</firstname><surname>Raza</surname><order>1</order></author><author><firstname>Shang-ming</firstname><surname>Zhou</surname><orcid>0000-0002-0719-9353</orcid><order>2</order></author><author><firstname>Rebecca</firstname><surname>Hill</surname><order>3</order></author><author><firstname>Ronan A</firstname><surname>Lyons</surname><order>4</order></author><author><firstname>Sinead</firstname><surname>Brophy</surname><order>5</order></author></authors><documents/><OutputDurs/></rfc1807>
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
_version_ 1763753142129786880
score 10.998116

Similar Items