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Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach / Shang-ming Zhou; Gavin Tsang; Xianghua Xie; Lin Huo; Sinead Brophy; Ronan A Lyons

The Lancet, Volume: 392, Start page: S9

Swansea University Authors: Shang-ming, Zhou, Xianghua, Xie

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Published in: The Lancet
ISSN: 01406736
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa45957
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first_indexed 2018-11-16T20:18:30Z
last_indexed 2019-02-11T11:55:33Z
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spelling 2019-02-07T09:21:10.0855149 v2 45957 2018-11-16 Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2018-11-16 BMS Journal Article The Lancet 392 S9 01406736 31 12 2018 2018-12-31 10.1016/S0140-6736(18)32166-4 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2019-02-07T09:21:10.0855149 2018-11-16T14:22:43.5395861 College of Science Computer Science Shang-ming Zhou 0000-0002-0719-9353 1 Gavin Tsang 2 Xianghua Xie 0000-0002-2701-8660 3 Lin Huo 4 Sinead Brophy 5 Ronan A Lyons 6 0045957-07022019091712.pdf 45957.pdf 2019-02-07T09:17:12.4030000 Output 105392 application/pdf Accepted Manuscript true 2019-02-06T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
spellingShingle Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
Shang-ming, Zhou
Xianghua, Xie
title_short Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
title_full Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
title_fullStr Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
title_full_unstemmed Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
title_sort Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
author_id_str_mv 118578a62021ba8ef61398da0a8750da
b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv 118578a62021ba8ef61398da0a8750da_***_Shang-ming, Zhou
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua, Xie
author Shang-ming, Zhou
Xianghua, Xie
author2 Shang-ming Zhou
Gavin Tsang
Xianghua Xie
Lin Huo
Sinead Brophy
Ronan A Lyons
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publishDate 2018
institution Swansea University
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published_date 2018-12-31T04:06:48Z
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