resources about federated learning and privacy in machine learning

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Research data management in biomedical and machine learning applications

watchlib is a Python module providing tools for loading, analyzing and visualizing Apple Watch health data.

A Python package for standardizing medical data

HL7 FHIR client library. Sync and async crud operations against R4 FHIR servers. Resource validation & serialization

This repository includes API to get ICD-10 codes from descriptions. The Model is a transformer based on BERT. The embeddings are being finetuned based on the following paper: https://arxiv.org/abs/1904.03323 .

I list all the medical data sets I find in my researches.

ScrapeMed: Data scraping for PubMed Central.

Concept Library - a system for storing, managing, sharing and documenting clinical code lists in health research through Phenotypes.

Extractive summarizationof medical transcriptions

A Python bootcamp for medical students designed to teach basic DICOM and imaging data handling skills.

Developed an NLP classifier for detecting medical domains in texts using a Siamese Neural Network

A private blockchain developed in Ethereum for a network of Raspberry Pis

LightGBM no-show predictor + AWS deployment (EC2 + Elastic Beanstalk)

Risk Factor Analysis for Medical Data, Open-source Machine Learning Platform

MediChain-DApp is a decentralized application for securely managing medical records using blockchain technology. It allows patients to control access to their health data, while doctors can securely view and update medical records. Built on Ethereum and IPFS, MediChain ensures transparency, privacy, and data integrity.

The code used to collect data about medical journal papers with at least 1 student author since 2012

A Flutter application to allow users manage their own medical data

Get started building safe, reliable, and production-grade multi-agent systems for medical applications!