Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Development of Machine Learning Models for...
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