Using natural language processing to extract structured epilepsy data from unstructured clinic letters

Fonferko-Shadrach, Beata; Lacey, Arron; Akbari, Ashley; Ellwood-Thompson, Simon; Ford, David; Lyons, Ronan; Rees, Mark; Pickrell, Owen

doi:10.23889/ijpds.v3i4.699

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Using natural language processing to extract structured epilepsy data from unstructured clinic letters

Beata Fonferko-Shadrach, Arron Lacey, Ashley Akbari

, Simon Ellwood-Thompson, David Ford

, Ronan Lyons

, Mark Rees, Owen Pickrell

International Journal of Population Data Science, Volume: 3, Issue: 4

Swansea University Authors: Beata Fonferko-Shadrach, Arron Lacey, Ashley Akbari , Simon Ellwood-Thompson, David Ford , Ronan Lyons , Mark Rees, Owen Pickrell

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DOI (Published version): 10.23889/ijpds.v3i4.699

Published in:	International Journal of Population Data Science
ISSN:	2399-4908
Published:	Swansea Swansea University 2018
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa44398
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first_indexed	2018-09-18T18:57:01Z
last_indexed	2023-01-11T14:20:59Z
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spelling	2022-11-15T13:30:42.4013901 v2 44398 2018-09-18 Using natural language processing to extract structured epilepsy data from unstructured clinic letters 7d3f1e80939f2b8fab6a16b5ec6ac845 Beata Fonferko-Shadrach Beata Fonferko-Shadrach true false b69d245574e754d2637cc9e76379fe11 Arron Lacey Arron Lacey true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 6498256ca5bc432bd9626503f1019113 Simon Ellwood-Thompson Simon Ellwood-Thompson true false 52fc0c473b0da1b7218d87f9fc68a3e6 0000-0001-6551-721X David Ford David Ford true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 10f39a4e9c2ee00d453cd84c10667ac8 Mark Rees Mark Rees true false 1c3044b5ff7a6552ff5e8c9e3901c807 0000-0003-4396-5657 Owen Pickrell Owen Pickrell true false 2018-09-18 HDAT Journal Article International Journal of Population Data Science 3 4 Swansea University Swansea 2399-4908 28 8 2018 2018-08-28 10.23889/ijpds.v3i4.699 http://dx.doi.org/10.23889/ijpds.v3i4.699 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2022-11-15T13:30:42.4013901 2018-09-18T17:13:53.9166475 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Beata Fonferko-Shadrach 1 Arron Lacey 2 Ashley Akbari 0000-0003-0814-0801 3 Simon Ellwood-Thompson 4 David Ford 0000-0001-6551-721X 5 Ronan Lyons 0000-0001-5225-000X 6 Mark Rees 7 Owen Pickrell 0000-0003-4396-5657 8 0044398-16102018112359.pdf 44398.pdf 2018-10-16T11:23:59.0670000 Output 202076 application/pdf Version of Record true 2018-10-16T00:00:00.0000000 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. true eng
title	Using natural language processing to extract structured epilepsy data from unstructured clinic letters
spellingShingle	Using natural language processing to extract structured epilepsy data from unstructured clinic letters Beata Fonferko-Shadrach Arron Lacey Ashley Akbari Simon Ellwood-Thompson David Ford Ronan Lyons Mark Rees Owen Pickrell
title_short	Using natural language processing to extract structured epilepsy data from unstructured clinic letters
title_full	Using natural language processing to extract structured epilepsy data from unstructured clinic letters
title_fullStr	Using natural language processing to extract structured epilepsy data from unstructured clinic letters
title_full_unstemmed	Using natural language processing to extract structured epilepsy data from unstructured clinic letters
title_sort	Using natural language processing to extract structured epilepsy data from unstructured clinic letters
author_id_str_mv	7d3f1e80939f2b8fab6a16b5ec6ac845 b69d245574e754d2637cc9e76379fe11 aa1b025ec0243f708bb5eb0a93d6fb52 6498256ca5bc432bd9626503f1019113 52fc0c473b0da1b7218d87f9fc68a3e6 83efcf2a9dfcf8b55586999d3d152ac6 10f39a4e9c2ee00d453cd84c10667ac8 1c3044b5ff7a6552ff5e8c9e3901c807
author_id_fullname_str_mv	7d3f1e80939f2b8fab6a16b5ec6ac845_*_Beata Fonferko-Shadrach b69d245574e754d2637cc9e76379fe11__Arron Lacey aa1b025ec0243f708bb5eb0a93d6fb52__Ashley Akbari 6498256ca5bc432bd9626503f1019113__Simon Ellwood-Thompson 52fc0c473b0da1b7218d87f9fc68a3e6__David Ford 83efcf2a9dfcf8b55586999d3d152ac6__Ronan Lyons 10f39a4e9c2ee00d453cd84c10667ac8__Mark Rees 1c3044b5ff7a6552ff5e8c9e3901c807_*_Owen Pickrell
author	Beata Fonferko-Shadrach Arron Lacey Ashley Akbari Simon Ellwood-Thompson David Ford Ronan Lyons Mark Rees Owen Pickrell
author2	Beata Fonferko-Shadrach Arron Lacey Ashley Akbari Simon Ellwood-Thompson David Ford Ronan Lyons Mark Rees Owen Pickrell
format	Journal article
container_title	International Journal of Population Data Science
container_volume	3
container_issue	4
publishDate	2018
institution	Swansea University
issn	2399-4908
doi_str_mv	10.23889/ijpds.v3i4.699
publisher	Swansea University
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department_str	Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
url	http://dx.doi.org/10.23889/ijpds.v3i4.699
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published_date	2018-08-28T03:55:35Z
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Using natural language processing to extract structured epilepsy data from unstructured clinic letters

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