Multiple Disease Predictor

About

This webapp was developed using Flask Web Framework and was deployed on Heroku server. The models used to predict the diseases were trained on large Datasets. All the links for datasets and the python notebooks used for model creation are mentioned below in 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%

NOTE

==> You can access the website live at: https://kvg-disease-predictor.herokuapp.com
==> Python version 3.6.8 was used for the whole project.
==> You can find all the models in models folder.

Steps to run this application in your system

1. Clone or download the repo.
2. Open command prompt in the downloaded folder.
3. Create a virtual environment

mkvirtualenv environment_name

4. Install all the dependencies:

pip install -r requirements.txt

5. Run the application

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

Links for Python Notebooks used for model creation

• Diabetes Notebook
• Breast Cancer Notebook
• Heart Disease Notebook
• Kidney Disease Notebook
• Liver Disease Notebook