Gender-Specific Osteoporosis Risk Prediction Using Longitudinal Clinical Data and Machine Learning

2026-02-17 orthopedics Title + abstract only

Show abstract

Osteoporosis is a silent yet debilitating disease that often remains undetected until fractures occur. While early prediction is crucial, most studies combine male and female datasets to train a single model, introducing bias since osteoporosis risk and progression differ by gender. This study aims to develop gender-specific machine learning models that leverage longitudinal data to predict osteoporosis risk, providing tailored insights for men and women. Data were obtained from two large longit...

Gender-Specific Osteoporosis Risk Prediction Using Longitudinal Clinical Data and Machine Learning

Predicted journal destinations