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Welcome to the Federated Learning for Rare Genetic Disorder Classification project! This repository demonstrates the application of Federated Learning (FL) techniques to classify rare genetic disorders using Electronic Health Record (EHR) data while addressing two critical challenges: privacy and limited data availability.

License: Apache License 2.0

Jupyter Notebook 95.37% Python 4.63%
classification deep-learning ehr-data federated-learning neural-network privacy-enhancing-technologies

federated-learning-rare-genetic-disorder-classification's Introduction

Hi there, I'm Maitree Varia👋

I'm a software developer with a passion for artificial intelligence and machine learning. I enjoy working on projects that push the boundaries of what's possible with technology and have a positive impact on society.

In my free time, I enjoy experimenting with new machine learning models and techniques and contributing to open-source projects related to AI and ML.

I'm always looking to learn more and expand my knowledge in this rapidly evolving field. If you share the same interests or have a project idea, feel free to reach out and connect on my linkedIn.

Skills: Python / Django / Node.js / Express JS / REACT / JS / HTML / CSS / Java / C / C++ / MySQL / MongoDB

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