Monte-Carlo-Simulations-using-Ensemble-Model-for-Population-Health

Economic Impact Analysis and Validation of Ensemble Machine Learning Models

The following files are supplementary files that correspond to the research manuscript:
Economic impact analysis and validation of ensemble machine learning models for predicting patients with high healthcare utilization in a large multi-institution diabetes registry.

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Files in this Repository

• Scatter plot for Monte Carlo Simulations for predicting length of stay 7-13 days (NOTE: vertical axis corresponds to simulated net benefit)) Interactive Figure 1.html

• Scatter plot for Monte Carlo Simulations for predicting length of stay 7-13 days (NOTE: vertical axis corresponds to simulated individual benefit)) Interactive Figure 2.html

• Scatter plot for Monte Carlo Simulations for predicting length of stay 14-29 days (vertical axis corresponds to simulated net benefit)) Interactive Figure 3.html

• Scatter plot for Monte Carlo Simulations for predicting length of stay 14-29 days (vertical axis corresponds to simulated individual benefit)) Interactive Figure 4.html

• Scatter plot for Monte Carlo Simulations for predicting length of stay ≥30 days (vertical axis corresponds to simulated net benefit)) Interactive Figure 5.html

• Scatter plot for Monte Carlo Simulations for predicting length of stay ≥30 days (vertical axis corresponds to simulated individual benefit)) Interactive Figure 6.html

Further details

For further details or inquiries, please contact the project contributors or refer to the manuscript.