Understanding Surgery Survival Rate Predicors Through Modeling
Understanding how current health conditions could impact survival rates for thoratic surgery is vital for patients. This project uses patients’ current health conditions to determine survival rates for thoratic surgery.
The Data
The data is available in UCI’s Machine Learning Repository. The attributes it takes into consideration include the patient’s current and past health conditions.
Technologies
Completed in R, the following packages are used
- caTools
- foreign
- ggm
Launch
All code is included in the R Markdown file, and the data file is included in the repository.
