Article

Predicting the Unpredictable: Machine Learning's Role in Sepsis Cardiac Arrest Mortality

2025-09-30

Abstract excerpt

<title>Abstract</title> <p><bold>Background </bold>Sepsis complicated by cardiac arrest (SCA) has a very high mortality rate. Traditional tools like the SOFA score inadequately address sepsis-specific factors. This study sought to create a machine learning model to predict in-hospital mortality in SCA early. <bold>Methods </bold>Adult SCA patients (n=1,431) from the MIMIC-IV 2.0 database showed a 39.6% in-hospita...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e8da66d2-ccfc-540d-84b9-9fc231c50524
DOI: 10.21203/rs.3.rs-7635257/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting the Unpredictable: Machine Learning's Role in Sepsis Cardiac Arrest MortalityDOI 10.21203/rs.3.rs-7635257/v1Read

Integrating Machine Learning and SHAP for Interpretable Prediction of 28-D ay Mortality in ICU Patients: A Comprehensive Analysis of Initial Physiologic al FeaturesSemantic proximity Read

Prognostic Assessment of Sepsis-Induced Acute Respiratory Distress Syndrome Using an Early Warning ModelSemantic proximity Read

Prediction of 30-Day Mortality for ICU Patients with Sepsis-3Semantic proximity Read

The establishment and optimization of a long-term prognosis assessment model for patients in sepsis combined with heart failure: Based on the Medical Information Mart for Intensive Care IV databaseSemantic proximity Read

Development and Validation of the VIOSync Sepsis Prediction Index: A Novel Machine Learning Model for Sepsis Prediction in ICU PatientsSemantic proximity Read

Prediction of 30-Day Mortality for ICU Patients with Sepsis-3Semantic proximity Read

Predictive performance of mortality risk models in sepsis-associated encephalopathy: a systematic review and meta-analysisSemantic proximity Read

Construction and validation of prognostic models for sepsis associated acute kidney injury patients with moderate to high SOFA scoreSemantic proximity Read

Prediction of Early Mortality in Post-CPR ICU Patients Using Machine Learning and Statistical Methods: A Retrospective Cohort StudySemantic proximity Read

Revolutionizing Sepsis Diagnosis Using Machine Learning and Deep Learning Models: A Systematic Literature ReviewSemantic proximity Read

Machine Learning Identifies ICU Outcome Predictors in a Multicenter COVID-19 Cohort.Semantic proximity Read

XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU DatabaseSemantic proximity Read