Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

Abstract Background Early prediction of hospital mortality is crucial for ICU patients with sepsis. This study aimed to develop a novel blending machine learning (ML) model for hospital mortality prediction in ICU patients with sepsis. Methods Two ICU databases were employed: eICU Collaborative Rese...

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主要な著者:	Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2021-08-01
シリーズ:	BioData Mining
主題:	Sepsis Intensive care unit Hospital mortality prediction Machine learning MIMIC-III eICU-CRD
オンライン･アクセス:	https://doi.org/10.1186/s13040-021-00276-5
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