Harnessing Machine Learning for Prediction of Postoperative Pulmonary Complications: Retrospective Cohort Design

Harnessing Machine Learning for Prediction of Postoperative Pulmonary Complications: Retrospective Cohort Design

Postoperative pulmonary complications (PPCs) are significant causes of postoperative morbidity and mortality. This study presents the utilization of machine learning for predicting PPCs and aims to identify the important features of the prediction models. This study used a retrospective cohort desig...

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Bibliographic Details
Main Authors: Jong-Ho Kim, Bo-Reum Cheon, Min-Guan Kim, Sung-Mi Hwang, So-Young Lim, Jae-Jun Lee, Young-Suk Kwon
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Journal of Clinical Medicine
Subjects:
surgery
lung
complications
machine learning
prediction
Online Access:https://www.mdpi.com/2077-0383/12/17/5681

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