Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission.
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ABSTRACT:
SUBMITTER: Lee B
PROVIDER: S-EPMC7806776 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Publications
Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission.
Lee Bongjin B Kim Kyunghoon K Hwang Hyejin H Kim You Sun YS Chung Eun Hee EH Yoon Jong-Seo JS Cho Hwa Jin HJ Park June Dong JD
Scientific reports 20210113 1
The aim of this study was to develop a predictive model of pediatric mortality in the early stages of intensive care unit (ICU) admission using machine learning. Patients less than 18 years old who were admitted to ICUs at four tertiary referral hospitals were enrolled. Three hospitals were designated as the derivation cohort for machine learning model development and internal validation, and the other hospital was designated as the validation cohort for external validation. We developed a rando ...[more]
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