Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach

Zhou, Shang-ming; Tsang, Gavin; Xie, Xianghua; Huo, Lin; Brophy, Sinead; Lyons, Ronan A

doi:10.1016/S0140-6736(18)32166-4

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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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DOI (Published version): 10.1016/S0140-6736(18)32166-4

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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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
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author	Shang-ming Zhou Xianghua Xie
author2	Shang-ming Zhou Gavin Tsang Xianghua Xie Lin Huo Sinead Brophy Ronan A Lyons
format	Journal article
container_title	The Lancet
container_volume	392
container_start_page	S9
publishDate	2018
institution	Swansea University
issn	01406736
doi_str_mv	10.1016/S0140-6736(18)32166-4
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published_date	2018-12-31T03:57:38Z
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Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach

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