A machine learning model to predict surgical site infection after surgery of lower extremity fractures

• Published in: International orthopaedics Vol. 48; no. 7; pp. 1887 - 1896
• Main Authors: Gutierrez-Naranjo, Jose M., Moreira, Alvaro, Valero-Moreno, Eduardo, Bullock, Travis S., Ogden, Liliana A., Zelle, Boris A.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2024
• Subjects: Adult; Aged; Algorithms; Female; Fractures, Bone - surgery; Humans; Lower Extremity - injuries; Lower Extremity - surgery; Machine Learning; Male; Medicine; Medicine & Public Health; Middle Aged; Original Paper; Orthopedics; Retrospective Studies; Risk Assessment - methods; Risk Factors; Surgical Wound Infection - diagnosis; Surgical Wound Infection - epidemiology; Surgical Wound Infection - etiology; Surgical Wound Infection - prevention & control; Young Adult; Risk score; Postoperative infection; Lower extremity; Machine learning

Purpose This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures. Methods A machine learning analysis was conducted on a dataset comprising 1,579 patients wh...