A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit

A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit

Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for remediation, and to discover systemic deficiencies to guide the development of the training syllabus. At present, these aud...

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Bibliographic Details
Main Authors: Han Wang, Wesley Lok Kin Yeung, Qin Xiang Ng, Angeline Tung, Joey Ai Meng Tay, Davin Ryanputra, Marcus Eng Hock Ong, Mengling Feng, Shalini Arulanandam
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
emergency medical services
clinical audit
natural language processing
named entity recognition
weakly-supervised learning
Online Access:https://www.mdpi.com/1660-4601/18/15/7776

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https://www.mdpi.com/1660-4601/18/15/7776

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