Statistical Learning Models

Statistical Learning Models

VDAT’s machine learning capabilities apply advanced computational techniques to extract meaningful patterns and predictions from healthcare data.

Methodologies

• Supervised Learning - Classification and regression models for clinical prediction
• Unsupervised Learning - Clustering and dimensionality reduction for pattern discovery
• Deep Learning - Neural network architectures for complex healthcare data analysis
• Natural Language Processing - Text analysis for clinical notes and medical literature
• Time Series Analysis - Sequential data modeling for patient trajectories
• Explainable AI - Transparent models with interpretable results for clinical decision support