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Author

Meng-Na Zhang

2 papers indexed here

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Open access Sep 2026

Machine learning for the early prediction of 28-day mortality in patients with sepsis in the ICU based on MIMIC-Ⅳ database

A machine learning model based on routinely available clinical data from MIMIC-IV demonstrated moderate discriminatory ability for predicting 28-day mortality in septic patients, with SHAP analysis providing insights into model interpretability.

Yi Sun, Ting-Ting Wang, Meng-Na Zhang et al. · 0 citations
Open access Aug 2026

Development of Machine Learning–Based Models to Predict Mortality in Intensive Care Unit Patients with Sepsis

Objective This study aimed to develop and validate a predictive model using machine learning to estimate mortality among intensive care unit patients. Methods The medical records of 874 sepsis patients hospitalized at the Affiliated Hospital of Chengde Medical University from 2021 to 2024 were retrospectively analyzed....

Ting-Ting Wang, Yi Sun, Meng-Na Zhang et al. · 0 citations

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