PYTHON · PANDAS · SCIKIT-LEARN · MACHINE LEARNING
Hospital Crowding Prediction System
An AI-powered early warning system designed to predict hospital congestion levels in real-time. Built with a Decision Tree Classifier, the model achieves 99.17% accuracy through strategic feature engineering, translating raw data like bed occupancy and staff ratios into actionable insights for proactive healthcare management.
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