Article

Random Forest-Based Prediction of Acute Respiratory Distress Syndrome in Patients Undergoing Cardiac Surgery

2022-07-25

Abstract excerpt

<h4>Objective: </h4> To develop a machine learning-based model for predicting the risk of acute respiratory distress syndrome (ARDS) after cardiac surgery. <h4>Methods:</h4> Data were collected from 1011 patients who underwent cardiac surgery between February 2018 and September 2019. We developed a predictive model on ARDS by using the random forest algorithm of machine learning. The discrimination of the model wa...

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Literature Corpus work: f873a38e-133d-5190-9187-69b437bedd38
DOI: 10.22541/au.165871983.37552803/v1

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