Research Progress on Risk Prediction Models for Acute Respiratory Distress Syndrome
Abstract：Using risk prediction tools for acute respiratory distress syndrome (ARDS) to identify patients' risk of developing ARDS early and stratify the risk is key to adopting appropriate preventive and therapeutic measures. This study reviews the risk factors and risk prediction models for ARDS, aiming to provide a basis for early identification of high-risk ARDS patients and the implementation of effective prevention and treatment measures.
Keywords：acute respiratory distress syndromerisk factorspredictive modelmachine learningreview
Publication Date：2025-05-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1619-1624 )