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Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

Arron S. Lacey Orcid Logo, Jane Lyons, Ashley Akbari Orcid Logo, Samantha Turner Orcid Logo, Angharad Walters, Beata Fonferko-Shadrach, Owen Pickrell Orcid Logo, Mark Rees, Ronan Lyons Orcid Logo, David Ford Orcid Logo, Rod Middleton Orcid Logo

International Journal for Population Data Science, Volume: 1, Issue: 1

Swansea University Authors: Arron S. Lacey Orcid Logo, Jane Lyons, Ashley Akbari Orcid Logo, Samantha Turner Orcid Logo, Angharad Walters, Beata Fonferko-Shadrach, Owen Pickrell Orcid Logo, Mark Rees, Ronan Lyons Orcid Logo, David Ford Orcid Logo, Rod Middleton Orcid Logo

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DOI (Published version): 10.23889/ijpds.v1i1.354

Published in: International Journal for Population Data Science
ISSN: 2399-4908
Published: 2017
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa39437
first_indexed 2018-04-17T12:21:55Z
last_indexed 2023-01-11T14:15:34Z
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spelling 2022-11-10T11:38:05.3728788 v2 39437 2018-04-17 Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters 7af5c8bdd1197f85720e4f3d65e803eb 0000-0001-7983-8073 Arron S. Lacey Arron S. Lacey true true 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 51236cb22cd896545c87e4c15fda17af 0000-0001-5293-3871 Samantha Turner Samantha Turner true false d6b09412cb92a442121f7cc962baf501 Angharad Walters Angharad Walters true false 7d3f1e80939f2b8fab6a16b5ec6ac845 Beata Fonferko-Shadrach Beata Fonferko-Shadrach true false 1c3044b5ff7a6552ff5e8c9e3901c807 0000-0003-4396-5657 Owen Pickrell Owen Pickrell true false 10f39a4e9c2ee00d453cd84c10667ac8 Mark Rees Mark Rees true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 52fc0c473b0da1b7218d87f9fc68a3e6 0000-0001-6551-721X David Ford David Ford true false 005518f819ef1a2a13fdf438529bdfcd 0000-0002-2130-4420 Rod Middleton Rod Middleton true false 2018-04-17 Journal Article International Journal for Population Data Science 1 1 2399-4908 19 4 2017 2017-04-19 10.23889/ijpds.v1i1.354 COLLEGE NANME Medicine COLLEGE CODE Swansea University 2022-11-10T11:38:05.3728788 2018-04-17T10:49:38.0833506 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Arron S. Lacey 0000-0001-7983-8073 1 Jane Lyons 2 Ashley Akbari 0000-0003-0814-0801 3 Samantha Turner 0000-0001-5293-3871 4 Angharad Walters 5 Beata Fonferko-Shadrach 6 Owen Pickrell 0000-0003-4396-5657 7 Mark Rees 8 Ronan Lyons 0000-0001-5225-000X 9 David Ford 0000-0001-6551-721X 10 Rod Middleton 0000-0002-2130-4420 11 0039437-11052018153310.pdf 39437.pdf 2018-05-11T15:33:10.6370000 Output 211847 application/pdf Version of Record true 2018-05-11T00:00:00.0000000 Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). true eng
title Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
spellingShingle Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
Arron S. Lacey
Jane Lyons
Ashley Akbari
Samantha Turner
Angharad Walters
Beata Fonferko-Shadrach
Owen Pickrell
Mark Rees
Ronan Lyons
David Ford
Rod Middleton
title_short Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
title_full Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
title_fullStr Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
title_full_unstemmed Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
title_sort Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters
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author_id_fullname_str_mv 7af5c8bdd1197f85720e4f3d65e803eb_***_Arron S. Lacey
1b74fa5125a88451c52c45bcf20e0b47_***_Jane Lyons
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
51236cb22cd896545c87e4c15fda17af_***_Samantha Turner
d6b09412cb92a442121f7cc962baf501_***_Angharad Walters
7d3f1e80939f2b8fab6a16b5ec6ac845_***_Beata Fonferko-Shadrach
1c3044b5ff7a6552ff5e8c9e3901c807_***_Owen Pickrell
10f39a4e9c2ee00d453cd84c10667ac8_***_Mark Rees
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
52fc0c473b0da1b7218d87f9fc68a3e6_***_David Ford
005518f819ef1a2a13fdf438529bdfcd_***_Rod Middleton
author Arron S. Lacey
Jane Lyons
Ashley Akbari
Samantha Turner
Angharad Walters
Beata Fonferko-Shadrach
Owen Pickrell
Mark Rees
Ronan Lyons
David Ford
Rod Middleton
author2 Arron S. Lacey
Jane Lyons
Ashley Akbari
Samantha Turner
Angharad Walters
Beata Fonferko-Shadrach
Owen Pickrell
Mark Rees
Ronan Lyons
David Ford
Rod Middleton
format Journal article
container_title International Journal for Population Data Science
container_volume 1
container_issue 1
publishDate 2017
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v1i1.354
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
published_date 2017-04-19T07:25:12Z
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