Non-Fatal Drowning Risk Prediction Based on Stacking Ensemble Algorithm

Drowning is a major public health problem and a leading cause of death in children living in developing countries. We seek better machine learning (ML) algorithms to provide a novel risk-assessment insight on non-fatal drowning prediction. The data on non-fatal drowning were collected in Qingyuan ci...

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Vydané v:	Children (Basel) Ročník 9; číslo 9; s. 1383
Hlavní autori:	Xie, Xinshan, Li, Zhixing, Xu, Haofeng, Peng, Dandan, Yin, Lihua, Meng, Ruilin, Wu, Wei, Ma, Wenjun, Chen, Qingsong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2022 MDPI
Predmet:	Algorithms Childrens health Datasets Drowning Drownings Feature selection Machine learning Mortality Performance evaluation prediction Questionnaires Risk factors Skills stacking ensemble Students Variables China
ISSN:	2227-9067, 2227-9067
On-line prístup:	Získať plný text
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