MyMedic - Healthcare Website

The website is deployed on the heroku cloud Link : https://mymedic.herokuapp.com/

A glimpse of the website

About

This website facilitates 8 end-to-end Machine Learning and Deep Learning model built upon Healthcare datasets that can be used to predict whether a person is suffering from a particular disease or not

Significance/Impact

This website is a simple demonstration of how the power of AI can be leveraged in the field of Healthcare. Whenever a patient undergoes testing for a certain disease, he had to get his reports analysed by the doctor

This idea can help us

• Reduce dependancy on the doctors, and help patients get diagnosed in minimal time and at his/her own convenience
• Help people avoid paying huge amount to doctors for consultation and diagnosis
• Extend the role of technology in healthcare

To run this project on local machine - Clone the repository, download it, and run the following command on your terminal

• cd "Directory of main folder"
• python app.py
• Copy the Local URL onto the web browser

Tech used for Project Development

• Python 3
• Flask
• Jupyter Notebook
• HTML, CSS and Javascript
• Python libraries - Numpy, Pandas, Sklearn, Matplotlib, Seaborn, etc
• Machine Learning algorithms - SVM, Random Forest, Xgboost, etc
• Deep Learning - CNN, ResNet50, VGG19
• Heroku Cloud for deployment

Sources for dataset

Pneumonia - https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

Brain Tumor - https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection

Malaria - https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria

Heart Disease - https://www.kaggle.com/ronitf/heart-disease-uci

Kidney - https://www.kaggle.com/mansoordaku/ckdisease

Liver - https://www.kaggle.com/uciml/indian-liver-patient-records

Breast Cancer - https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

Diabetes - https://www.kaggle.com/uciml/pima-indians-diabetes-database