No Cover Image

Journal article 79 views 20 downloads

Deriving household composition using population-scale electronic health record data—A reproducible methodology / Rhodri Johnson, Lucy Griffiths, Joseph Hollinghurst, Ashley Akbari, Alexandra Lee, Daniel Thompson, Ronan Lyons, Rich Fry

PLOS ONE, Volume: 16, Issue: 3, Start page: e0248195

Swansea University Authors: Rhodri Johnson, Lucy Griffiths, Joseph Hollinghurst, Ashley Akbari, Alexandra Lee, Daniel Thompson, Ronan Lyons, Rich Fry

  • 56617.pdf

    PDF | Version of Record

    © 2021 Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License

    Download (1.28MB)
Published in: PLOS ONE
ISSN: 1932-6203
Published: Public Library of Science (PLoS) 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56617
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-04-26T15:27:15Z
last_indexed 2021-04-27T03:24:11Z
id cronfa56617
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-04-26T16:29:15.4998579</datestamp><bib-version>v2</bib-version><id>56617</id><entry>2021-04-04</entry><title>Deriving household composition using population-scale electronic health record data&#x2014;A reproducible methodology</title><swanseaauthors><author><sid>5f97fd65ef8cf66db750f645f115454c</sid><ORCID/><firstname>Rhodri</firstname><surname>Johnson</surname><name>Rhodri Johnson</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e35ea6ea4b429e812ef204b048131d93</sid><ORCID>0000-0001-9230-624X</ORCID><firstname>Lucy</firstname><surname>Griffiths</surname><name>Lucy Griffiths</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d7c51b69270b644a11b904629fe56ab0</sid><firstname>Joseph</firstname><surname>Hollinghurst</surname><name>Joseph Hollinghurst</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7c6dc217555b0fea264ff0dd7d0aa374</sid><firstname>Alexandra</firstname><surname>Lee</surname><name>Alexandra Lee</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>6c8a74cee1795e4ee45ee13cf5393186</sid><firstname>Daniel</firstname><surname>Thompson</surname><name>Daniel Thompson</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d499b898d447b62c81b2c122598870e0</sid><ORCID>0000-0002-7968-6679</ORCID><firstname>Rich</firstname><surname>Fry</surname><name>Rich Fry</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-04-04</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>PLOS ONE</journal><volume>16</volume><journalNumber>3</journalNumber><paginationStart>e0248195</paginationStart><paginationEnd/><publisher>Public Library of Science (PLoS)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1932-6203</issnElectronic><keywords/><publishedDay>29</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-03-29</publishedDate><doi>10.1371/journal.pone.0248195</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-04-26T16:29:15.4998579</lastEdited><Created>2021-04-04T11:32:47.0283996</Created><path><level id="1">Swansea University Medical School</level><level id="2">Medicine</level></path><authors><author><firstname>Rhodri</firstname><surname>Johnson</surname><orcid/><order>1</order></author><author><firstname>Lucy</firstname><surname>Griffiths</surname><orcid>0000-0001-9230-624X</orcid><order>2</order></author><author><firstname>Joseph</firstname><surname>Hollinghurst</surname><order>3</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>4</order></author><author><firstname>Alexandra</firstname><surname>Lee</surname><order>5</order></author><author><firstname>Daniel</firstname><surname>Thompson</surname><order>6</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>7</order></author><author><firstname>Rich</firstname><surname>Fry</surname><orcid>0000-0002-7968-6679</orcid><order>8</order></author></authors><documents><document><filename>56617__19756__353fb6d9a144487f9cc8437d004f2a80.pdf</filename><originalFilename>56617.pdf</originalFilename><uploaded>2021-04-26T16:27:27.1319497</uploaded><type>Output</type><contentLength>1346210</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2021 Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2021-04-26T16:29:15.4998579 v2 56617 2021-04-04 Deriving household composition using population-scale electronic health record data—A reproducible methodology 5f97fd65ef8cf66db750f645f115454c Rhodri Johnson Rhodri Johnson true false e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false d7c51b69270b644a11b904629fe56ab0 Joseph Hollinghurst Joseph Hollinghurst true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 7c6dc217555b0fea264ff0dd7d0aa374 Alexandra Lee Alexandra Lee true false 6c8a74cee1795e4ee45ee13cf5393186 Daniel Thompson Daniel Thompson true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false d499b898d447b62c81b2c122598870e0 0000-0002-7968-6679 Rich Fry Rich Fry true false 2021-04-04 HDAT Journal Article PLOS ONE 16 3 e0248195 Public Library of Science (PLoS) 1932-6203 29 3 2021 2021-03-29 10.1371/journal.pone.0248195 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2021-04-26T16:29:15.4998579 2021-04-04T11:32:47.0283996 Swansea University Medical School Medicine Rhodri Johnson 1 Lucy Griffiths 0000-0001-9230-624X 2 Joseph Hollinghurst 3 Ashley Akbari 0000-0003-0814-0801 4 Alexandra Lee 5 Daniel Thompson 6 Ronan Lyons 0000-0001-5225-000X 7 Rich Fry 0000-0002-7968-6679 8 56617__19756__353fb6d9a144487f9cc8437d004f2a80.pdf 56617.pdf 2021-04-26T16:27:27.1319497 Output 1346210 application/pdf Version of Record true © 2021 Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title Deriving household composition using population-scale electronic health record data—A reproducible methodology
spellingShingle Deriving household composition using population-scale electronic health record data—A reproducible methodology
Rhodri, Johnson
Lucy, Griffiths
Joseph, Hollinghurst
Ashley, Akbari
Alexandra, Lee
Daniel, Thompson
Ronan, Lyons
Rich, Fry
title_short Deriving household composition using population-scale electronic health record data—A reproducible methodology
title_full Deriving household composition using population-scale electronic health record data—A reproducible methodology
title_fullStr Deriving household composition using population-scale electronic health record data—A reproducible methodology
title_full_unstemmed Deriving household composition using population-scale electronic health record data—A reproducible methodology
title_sort Deriving household composition using population-scale electronic health record data—A reproducible methodology
author_id_str_mv 5f97fd65ef8cf66db750f645f115454c
e35ea6ea4b429e812ef204b048131d93
d7c51b69270b644a11b904629fe56ab0
aa1b025ec0243f708bb5eb0a93d6fb52
7c6dc217555b0fea264ff0dd7d0aa374
6c8a74cee1795e4ee45ee13cf5393186
83efcf2a9dfcf8b55586999d3d152ac6
d499b898d447b62c81b2c122598870e0
author_id_fullname_str_mv 5f97fd65ef8cf66db750f645f115454c_***_Rhodri, Johnson
e35ea6ea4b429e812ef204b048131d93_***_Lucy, Griffiths
d7c51b69270b644a11b904629fe56ab0_***_Joseph, Hollinghurst
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley, Akbari
7c6dc217555b0fea264ff0dd7d0aa374_***_Alexandra, Lee
6c8a74cee1795e4ee45ee13cf5393186_***_Daniel, Thompson
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan, Lyons
d499b898d447b62c81b2c122598870e0_***_Rich, Fry
author Rhodri, Johnson
Lucy, Griffiths
Joseph, Hollinghurst
Ashley, Akbari
Alexandra, Lee
Daniel, Thompson
Ronan, Lyons
Rich, Fry
author2 Rhodri Johnson
Lucy Griffiths
Joseph Hollinghurst
Ashley Akbari
Alexandra Lee
Daniel Thompson
Ronan Lyons
Rich Fry
format Journal article
container_title PLOS ONE
container_volume 16
container_issue 3
container_start_page e0248195
publishDate 2021
institution Swansea University
issn 1932-6203
doi_str_mv 10.1371/journal.pone.0248195
publisher Public Library of Science (PLoS)
college_str Swansea University Medical School
hierarchytype
hierarchy_top_id swanseauniversitymedicalschool
hierarchy_top_title Swansea University Medical School
hierarchy_parent_id swanseauniversitymedicalschool
hierarchy_parent_title Swansea University Medical School
department_str Medicine{{{_:::_}}}Swansea University Medical School{{{_:::_}}}Medicine
document_store_str 1
active_str 0
published_date 2021-03-29T04:20:59Z
_version_ 1714741428124385280
score 10.830406