The goal of this project is to create a machine learning model where a heart disease can be predicted using clinical variabeles. Of course, we want a model that uses the smallest amount of attributes and reaches the highest accuracy.
The project is diversed in three subjects:
- Explorative Data Analysis
- Creating a Machine learning model
- Creating Java application that deploys the model
The first two subjects can be found inside this project. The Java application is placed inside another repository.
The whole procces of this project is described in the file: Predicting_heaer_disease.Rmd. There is a pdf version of this file, for easier reading.
Project Structure:
. ├── Heart_Disease_Prediction.csv: The original dataset for this project ├── Predicting_heart_disease.Rmd: Full log about this project ├── Predicting_heart_disease.pdf: Full log about this project in pdf ├── README.md ├── JavaApplicaion: directory with the builded java application ├── gpl.md: license file └── Verslag.pdf: Full report about this project
The file verslag.pdf contains a full report (in Dutch) about this project. The folder PredictingHeartDiseaseJavaWrapper is a submodule that contains the Java application