Mortality Vector Optimization (MVO) algorithm for patient outcome prediction and evaluation
Project description
markdown
my_mvo
A Python package for Mortality Vector Optimization (MVO) to predict patient outcomes using multi-stage vector optimization.
Features
- Feature Normalization: Robust preprocessing of feature matrices
- Multi-stage Optimization: Sequential vector optimization for improved prediction accuracy
- Comprehensive Evaluation: Bootstrap-based assessment with multiple metrics:
- AUC (Area Under the ROC Curve)
- Brier Score
- C-index (Concordance Index)
- Probability Prediction: Logistic regression-based outcome probability estimation
- Modular Design: Flexible components for custom pipeline integration
Installation
pip install mvo-core
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