HealthOrzo is a User friendly Website made for Health Informatics and Prediction. It incorporates 4 Machine Learning Models , Each one Corresponding to a disease. The Diseases That the Website predicts and provides information on are as Follows:
- Diabetes.
- Heart Ailment.
- Kidney Disease.
- Liver Disease.
| Disease | Algorithm Used | Accuracy |
|---|---|---|
| Diabetes | Support Vector Machine (SVM) | 75% |
| Heart Ailment | Logistic Regression | 81% |
| Kidney Disease | Random Forests | 100% |
| Liver Disease | Random Forests | 73% |
===> Python Version 3.8.8 was used for this Project.
===> All the Jupyter Notebooks can be Found in the Notebooks Folder.
===> All the rendered and the Saved Models can be Found in the Models Folder.
The Datasets Used for this Project were taken from Kaggle
- Clone or download the repo.
- Open command prompt in the downloaded folder.
- Create a virtual environment.
virtualenv environment_name
- Activate the New Environment
source environment_name/bin/activate
- Install the Dependencies.
pip install -r requirements.txt
- Run the Flask App.
python app.py