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.

• Diabetes Dataset
• Breast Cancer Dataset
• Heart Disease Dataset
• Kidney Disease Dataset
• Liver Disease Dataset
• Malaria Dataset
• Pneumonia Dataset

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