Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery

Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery

Objective: Investigate whether machine learning can predict pulmonary complications (PPCs) after emergency gastrointestinal surgery in patients with acute diffuse peritonitis.Methods: This is a secondary data analysis study. We use five machine learning algorithms (Logistic regression, DecisionTree,...

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Bibliographic Details
Main Authors: Qiong Xue, Duan Wen, Mu-Huo Ji, Jianhua Tong, Jian-Jun Yang, Cheng-Mao Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Medicine
Subjects:
machine learning
pulmonary complications
diffuse peritonitis
predict
AUC
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.655686/full

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https://www.frontiersin.org/articles/10.3389/fmed.2021.655686/full

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