In this project, I provide a demonstration of logistic regression to use for the computational diagnosis of coronary heart disease, and walk through the entire model development process including validating assumptions, feature selection, and monitoring accuracy. Further testing of machine learning models is also done as additional comparisons for propspective quantitative analysis.
This project was built with the following technologies:
- R
- Tidyverse
- dplyr
- ggplot
- MASS
- faraway
- pROC
- caret