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Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.

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Title: Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.
Authors: Evans, Huw Prosser1, Anastasiou, Athanasios2, Edwards, Adrian1, Hibbert, Peter3, Makeham, Meredith3, Luz, Saturnino, Sheikh, Aziz4, Donaldson, Liam5, Carson-Stevens, Andrew1, Carson-StevensAP@cardiff.ac.uk
Source: Health Informatics Journal; Dec2020, Vol. 26 Issue 4, p3123-3139, 17p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 147644395
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=147644395
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        Value: 10.1177/1460458219833102
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 3123
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      – TitleFull: Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.
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              Text: Dec2020
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              Y: 2020
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