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

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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Bibliographic Details
Main Authors: Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BioData Mining
Subjects:
Sepsis
Intensive care unit
Hospital mortality prediction
Machine learning
MIMIC-III
eICU-CRD
Online Access:https://doi.org/10.1186/s13040-021-00276-5

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