Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models.

ABSTRACT:

Background and aim

Osteonecrosis of the femoral head (ONFH) is a degenerative joint disorder that frequently leads to structural collapse and impaired mobility, particularly in older adults. Early detection of associated risk factors is essential for timely intervention. This study aimed to compare the predictive performance of a Random Forest (RF) algorithm and a Logistic Regression (LR) model in identifying key contributors to ONFH in elderly patients.

Methods

This retrospective study included 339 patients aged ≥ 75 years who received treatment at Shanxi Bethune Hospital from January 2017 to December 2023, with complete clinical and imaging records. Variables included demographics, bone mineral density, medication and lifestyle history, comorbidities, and radiographic find

SUBMITTER: Shang P 

PROVIDER: S-EPMC12728075 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature