Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

Objective To externally validate by revision and update the study on the efficacy of nosocomial infection control (SENIC) model of surgical site infection (SSI) using logistic regression (LR) and machine learning (ML) approaches. Methods A retrospective analysis of hospital database-derived data fro...

Full description

Saved in:
Bibliographic Details
Main Authors: Pongsathorn Piebpien, Amarit Tansawet, Oraluck Pattanaprateep, Anuchate Pattanateepapon, Chumpon Wilasrusmee, Gareth J. Mckay, John Attia, Ammarin Thakkinstian
Format: Article
Language:English
Published: SAGE Publishing 2024-11-01
Series:Journal of International Medical Research
Online Access:https://doi.org/10.1177/03000605241293696
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items