Interpretable machine learning classifiers for the reliable …
Classical computing methods are costly and require advanced skills, limiting their clinical use. A data-driven framework offers an effective alternative for disease diagnosis and prediction. This study aims to apply and evaluate machine learning (ML) classifiers to predict hip fracture risk using a binary classification based on the fracture …