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Multiple Disease Prediction using Machine Learning

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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.txt

Step-3: After successfull installation of all the dependencies, run the following command

python app.py

Dataset Links

All the datasets were used from kaggle.

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