Neural Network‑Based Model for Osteoporosis Prediction
Peer‑reviewed conference paper proposing an ANN-based osteoporosis prediction model and benchmarking against classical ML baselines.
Highlights
- Model: Developed an artificial neural network model in Python for osteoporosis prediction.
- Result: Reported accuracy of 87.2% on the proposed model in the paper listing.
- Benchmarking: Compared against XGBoost, Support Vector Machine, Logistic Regression, Random Forest, and K‑Nearest Neighbors.