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Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol
npj Primary Care Respiratory Medicine, Volume: 28, Issue: 1
Swansea University Authors: Ronan Lyons , Gwyneth Davies
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DOI (Published version): 10.1038/s41533-018-0088-4
Abstract
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol
Published in: | npj Primary Care Respiratory Medicine |
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ISSN: | 2055-1010 |
Published: |
Springer Science and Business Media LLC
2018
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa52947 |
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2023-01-24T12:49:40.6239228 v2 52947 2019-12-03 Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 92d69cf8519a334ced3f55142c811d95 0000-0003-1218-1008 Gwyneth Davies Gwyneth Davies true false 2019-12-03 MEDS Journal Article npj Primary Care Respiratory Medicine 28 1 Springer Science and Business Media LLC 2055-1010 1 12 2018 2018-12-01 10.1038/s41533-018-0088-4 http://dx.doi.org/10.1038/s41533-018-0088-4 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2023-01-24T12:49:40.6239228 2019-12-03T11:27:30.9056631 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Mohammad A Al Sallakh 1 Sarah E Rodgers 2 Ronan Lyons 0000-0001-5225-000X 3 Aziz Sheikh 4 Gwyneth Davies 0000-0003-1218-1008 5 52947__16396__c9b5a2ef03a2401fac8a8a1443e2af24.pdf 52947.pdf 2020-01-23T12:03:58.8219260 Output 400201 application/pdf Version of Record true This article is licensed under a Creative Commons Attribution 4.0 International License true |
title |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol |
spellingShingle |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol Ronan Lyons Gwyneth Davies |
title_short |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol |
title_full |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol |
title_fullStr |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol |
title_full_unstemmed |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol |
title_sort |
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol |
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83efcf2a9dfcf8b55586999d3d152ac6 92d69cf8519a334ced3f55142c811d95 |
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83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons 92d69cf8519a334ced3f55142c811d95_***_Gwyneth Davies |
author |
Ronan Lyons Gwyneth Davies |
author2 |
Mohammad A Al Sallakh Sarah E Rodgers Ronan Lyons Aziz Sheikh Gwyneth Davies |
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Journal article |
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npj Primary Care Respiratory Medicine |
container_volume |
28 |
container_issue |
1 |
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2018 |
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Swansea University |
issn |
2055-1010 |
doi_str_mv |
10.1038/s41533-018-0088-4 |
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Springer Science and Business Media LLC |
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Faculty of Medicine, Health and Life Sciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
url |
http://dx.doi.org/10.1038/s41533-018-0088-4 |
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published_date |
2018-12-01T07:47:46Z |
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11.263136 |