This web application was developed using the Flask web framework. The predictive models were trained on comprehensive datasets, enabling high accuracy in predicting chronic kidney disease.
Chronic-Kidney-Disease-Prediction
- Clone or download the repo.
- Open the command prompt in the downloaded folder.
- Create a virtual environment
python -m venv /path/to/new/virtual/environment
- Install all the dependencies:
pip install -r requirements.txt
- Run the application
python app.py
The dataset was used from Kaggle.
Disease | Type of Model | Accuracy |
---|---|---|
Kidney-Disease | Machine Learning Model | 98.33% |
Do Reach out to me at TopMate for 1:1 connect 👉🏻 Kidney Disease Prediction project spport
Last Tested: 28/07/2024
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