Author: Sagon Morad
Partner: Andrew Garvey
Date: Apr-Aug 2019
DI = Diagnostic Imaging ED = Emergency Department
- Clean data from both ED and DI to be appropriate for ML tasks
- Develop a Logistic Regression and Random Forest model to predict DI demand using ED triage data and any outside available factors
- Done by Modality and by Demographic Segmentation
- Produce insightful visualizations related to DI Order Time over large timeframes