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Multiple Disease Prediction using Machine Learning . This Web App was developed using Python Flask Web Framework . The models won’t to predict the diseases were trained on large Datasets. All the links for datasets and therefore the python notebooks used for model creation are mentioned below during this readme. The WebApp can predict following Diseases:
- Diabetes
- Breast Cancer
- Heart Disease
- Kidney Disease
- Liver Disease
- Malaria
- Pneumonia
>Models with their Accuracy of Prediction
| Disease | Type of Model | Accuracy |
|---|---|---|
| Diabetes | Machine Learning Model | 98.25% |
| Breast Cancer | Machine Learning Model | 98.25% |
| Heart Disease | Machine Learning Model | 85.25% |
| Kidney Disease | Machine Learning Model | 99% |
| Liver Disease | Machine Learning Model | 78% |
| Malaria | Deep Learning Model(CNN) | 96% |
| Pneumonia | Deep Learning Model(CNN) | 95% |
Steps to run the WebApp in local Computer
Step-1: Download the files in the repository.
Step-2: Get into the downloaded folder, open command prompt in that directory and install all the dependencies using following command
pip install -r requirements.txtStep-3: After successfull installation of all the dependencies, run the following command
python app.pyDataset Links
All the datasets were used from kaggle.