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

Learning from patient safety incident reports is a vital part of improving healthcare. However, the volume of reports and their largely free-text nature poses a major analytic challenge. The objective of this study was to test the capability of autonomous classifying of free text within patient safe...

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Veröffentlicht in:	Health informatics journal 2020-12, Vol.26 (4), p.3123-3139
Hauptverfasser:	Evans, Huw Prosser, Anastasiou, Athanasios, Edwards, Adrian, Hibbert, Peter, Makeham, Meredith, Luz, Saturnino, Sheikh, Aziz, Donaldson, Liam, Carson-Stevens, Andrew
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic classification Machine learning Patient safety Primary care
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