Covid 19
- Joseph Paul Cohen and Paul Morrison and Lan Dao. COVID-19 image data collection, arXiv, 2020
- Jordan Micah Bennett Brain tumour
- Kaggle Dataset Breast Cancer
- Kaggle Dataset Alzheimer
- Kaggle Dataset Diabetes
- Kaggle Dataset Pneumonia
- Kaggle Dataset Heart Disease
- Kaggle Dataset Parkinson's
- Kaggle Dataset
Healthzoid is 8-in-1 multi-disease detection system. It supports prediction for brain tumour, breast cancer, alzheimer, diabetes, pneumonia, heart disease, and Parkinson's disease. It is a machine learning, deep learning enabled medical system. It has the potential to decrease the ongoing activity to doctors for prediction of a disease.
- It is a cost-optimized model -- you can detect wheter you have a chronic disease at you leisure, just sitting at home.
- Prevention is always better than cure -- due to people's lifestyles in the modern society, catching a chronic disease like diabeteshas become quite common. To prevent and find out earlier whether you have got a disease.
- We plan to implement IOT in this project and further retrain our models for a more better and accurate understanding.
Create a conda environment
conda create -n healthzoid python=3.9Go to the project directory
cd healthzoidInstall dependencies
conda activate healthzoid
pip install opencv-python numpy tensorflow sklearn imutils flask xgboostYou can use conda too.
Start the server
flask run