학술논문
Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery.
Document Type
Article
Author
Source
Subject
*MACHINE learning
*SURGICAL complications
*ABDOMINAL surgery
*CLINICAL prediction rules
*TECHNOLOGICAL innovations
*FORECASTING
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Language
ISSN
0941-1291
Abstract
Complications after surgery have a major impact on short- and long-term outcomes, and decades of technological advancement have not yet led to the eradication of their risk. The accurate prediction of complications, recently enhanced by the development of machine learning algorithms, has the potential to completely reshape surgical patient management. In this paper, we reflect on multiple issues facing the implementation of machine learning, from the development to the actual implementation of machine learning models in daily clinical practice, providing suggestions on the use of machine learning models for predicting postoperative complications after major abdominal surgery. [ABSTRACT FROM AUTHOR]