Artificial neural network approach for acute poisoning mortality prediction in emergency departments

Objective The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-h...

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Bibliographic Details

Published in:	Clinical and Experimental Emergency Medicine
Main Authors:	Seon Yeong Park, Kisung Kim, Seon Hee Woo, Jung Taek Park, Sikyoung Jeong, Jinwoo Kim, Sungyoup Hong
Format:	Article
Language:	English
Published:	The Korean Society of Emergency Medicine 2021-09-01
Subjects:	poisoning mortality neural networks, computer logistic models prognosis
Online Access:	http://ceemjournal.org/upload/pdf/ceem-20-113.pdf