Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department

Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department

Abstract Background Chest pain is among the most common presenting complaints in the emergency department (ED). Swift and accurate risk stratification of chest pain patients in the ED may improve patient outcomes and reduce unnecessary costs. Traditional logistic regression with stepwise variable se...

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Bibliographic Details
Main Authors: Nan Liu, Marcel Lucas Chee, Zhi Xiong Koh, Su Li Leow, Andrew Fu Wah Ho, Dagang Guo, Marcus Eng Hock Ong
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Research Methodology
Subjects:
Machine learning
Dimensionality reduction
Heart rate n-variability (HRnV)
Heart rate variability (HRV)
Chest pain
Emergency department
Online Access:https://doi.org/10.1186/s12874-021-01265-2

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