Machine learning for the early prediction of sepsis patients in the intensive care unit (ICU) based on clinical data

A 28-day mortality in sepsis patients can be accurately predicted at an early stage using a machine learning model based on routinely collected clinical data.

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Publication Details

Journal
Digital Health
Published
2026-02-01
DOI
https://doi.org/10.1177/20552076261422630
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning for the early prediction of sepsis patients in the intensive care unit (ICU) based on clinical data

Mengna Zhang, Shuchen Cao, Tingting Wang, Yi Sun et al.
Digital Health
Sepsis Diagnosis and Treatment
article

Machine learning for the early prediction of sepsis patients in the intensive care unit (ICU) based on clinical data

Mengna Zhang, Shuchen Cao, Tingting Wang, Yi Sun, Liwei Hua, Kun Zhang
article en

Abstract

A 28-day mortality in sepsis patients can be accurately predicted at an early stage using a machine learning model based on routinely collected clinical data.

Digital HealthVol. 12
Chengde Medical University (CN)
Good health and well-being
Openalex Percentile: Top 59%
Sepsis Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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Machine learning for the early prediction of sepsis patients in the intensive care unit (ICU) based on clinical data — Mengna Zhang, Shuchen Cao, et al. · Digital Health (2026) | TGRS Research Map | TGRS