Journal article 998 views
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches
Huw Prosser Evans,
Athanasios Anastasiou 
,
Adrian Edwards,
Peter Hibbert,
Meredith Makeham,
Saturnino Luz,
Aziz Sheikh,
Liam Donaldson,
Andrew Carson-Stevens
,
Adrian Edwards,
Peter Hibbert,
Meredith Makeham,
Saturnino Luz,
Aziz Sheikh,
Liam Donaldson,
Andrew Carson-Stevens
Health Informatics Journal, Start page: 146045821983310
Swansea University Author:
Athanasios Anastasiou
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1177/1460458219833102
Abstract
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches
| Published in: | Health Informatics Journal |
|---|---|
| ISSN: | 1460-4582 1741-2811 |
| Published: |
2019
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa49691 |
| first_indexed |
2019-03-21T13:59:27Z |
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| last_indexed |
2019-06-12T14:55:55Z |
| id |
cronfa49691 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2019-06-12T10:00:00.3696799 v2 49691 2019-03-21 Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches 77b6898ebedef0c5f84b39b0217c18ce 0000-0002-3504-9969 Athanasios Anastasiou Athanasios Anastasiou true false 2019-03-21 MEDS Journal Article Health Informatics Journal 146045821983310 1460-4582 1741-2811 31 12 2019 2019-12-31 10.1177/1460458219833102 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2019-06-12T10:00:00.3696799 2019-03-21T11:41:21.6893378 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Huw Prosser Evans 1 Athanasios Anastasiou 0000-0002-3504-9969 2 Adrian Edwards 3 Peter Hibbert 4 Meredith Makeham 5 Saturnino Luz 6 Aziz Sheikh 7 Liam Donaldson 8 Andrew Carson-Stevens 9 |
| title |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches |
| spellingShingle |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches Athanasios Anastasiou |
| title_short |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches |
| title_full |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches |
| title_fullStr |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches |
| title_full_unstemmed |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches |
| title_sort |
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches |
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77b6898ebedef0c5f84b39b0217c18ce |
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77b6898ebedef0c5f84b39b0217c18ce_***_Athanasios Anastasiou |
| author |
Athanasios Anastasiou |
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Huw Prosser Evans Athanasios Anastasiou Adrian Edwards Peter Hibbert Meredith Makeham Saturnino Luz Aziz Sheikh Liam Donaldson Andrew Carson-Stevens |
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Journal article |
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Health Informatics Journal |
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146045821983310 |
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2019 |
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Swansea University |
| issn |
1460-4582 1741-2811 |
| doi_str_mv |
10.1177/1460458219833102 |
| college_str |
Faculty of Medicine, Health and Life Sciences |
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|
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facultyofmedicinehealthandlifesciences |
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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 |
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2019-12-31T04:37:29Z |
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