Establishment of a gradient boosting prediction model for respiratory failure after non-cardiothoracic surgery based on intraoperative indicators

Establishment of a gradient boosting prediction model for respiratory failure after non-cardiothoracic surgery based on intraoperative indicators

Objective To develop and validate a machine learning prediction model for postoperative respiratory failure (PRF) in patients after non-cardiothoracic surgery based on intraoperative indicators. Methods A total of 705 patients undergoing non-cardiothoracic surgery in our hospital from January 2014 t...

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Bibliographic Details
Main Authors: HUANG Jiahao, LI Yujie, LIU Xiang, YANG Zhiyong, SUN Yizhu
Format: Article
Language:zho
Published: Editorial Office of Journal of Army Medical University 2023-04-01
Series:陆军军医大学学报
Subjects:
postoperative respiratory failure
prediction model
clinical utility
quantification of surgical risk
Online Access:http://aammt.tmmu.edu.cn/html/202301053.htm

Internet

http://aammt.tmmu.edu.cn/html/202301053.htm

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