INTERPRETABLE MACHINE LEARNING-BASED SCORING SYSTEMS FOR EMERGENCY CARE

Ph.D

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Bibliographic Details
Main Author:	XIE FENG
Other Authors:	DEAN'S OFFICE (DUKE-NUS)
Format:	Theses and Dissertations
Language:	English
Published:	2022
Subjects:	Emergency care, Triage, Scoring system, Interpretable machine learning, AutoScore, Electronic health records
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/226238
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Institution:	National University of Singapore
Language:	English

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