Journal article
Development of Machine Learning Models for Predicting the 1‐Year Risk of Reoperation After Lower Limb Oncological Resection and Endoprosthetic Reconstruction Based on Data From the PARITY Trial
Abstract
BACKGROUND: Oncological resection and reconstruction involving the lower extremities commonly lead to reoperations that impact patient outcomes and healthcare resources. This study aimed to develop a machine learning (ML) model to predict this reoperation risk.
METHODS: This study was conducted according to TRIPOD + AI. Data from the PARITY trial was used to develop ML models to predict the 1-year reoperation risk following lower extremity …
Authors
Deng J; Moskalyk M; Shammas‐Toma M; Aoude A; Ghert M; Bhatnagar S; Bozzo A
Journal
Journal of Surgical Oncology, Vol. 130, No. 8, pp. 1706–1716
Publisher
Wiley
Publication Date
December 2024
DOI
10.1002/jso.27854
ISSN
0022-4790