Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study
Author:
Publisher
AME Publishing Company
Subject
General Medicine
Link
https://atm.amegroups.com/article/download/65818/pdf
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Comparing Traditional Regression and Machine Learning Models in Predicting Acute Respiratory Distress Syndrome Mortality;Critical Care Medicine;2024-01-19
2. Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning;Journal of Clinical Monitoring and Computing;2023-12-27
3. Effect of Glasgow Coma Scale Score on 28-Day Mortality in Patients with Acute Respiratory Distress Syndrome: A Multi-center Retrospective Study Based on the eICU Collaborative Research Database;2023-12-02
4. Association Between Temperature During Intensive Care Unit and Mortality in Patients With Acute Respiratory Distress Syndrome;Therapeutic Hypothermia and Temperature Management;2023-11-17
5. POSTCARDS from a SIESTA: Crossing the Translational and Generalizability Gap for Predictive Models of Acute Respiratory Distress Syndrome-Related Mortality*;Critical Care Medicine;2023-11-16
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