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.

Extractive summarizationof medical transcriptions

ScrapeMed: Data scraping for PubMed Central.

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

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

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

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

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

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

https://arxiv.org/abs/2201.06499

🫀 Prediction of incidence of Heart Disease in respondents based on lifestyle indicators such as BMI, Age, physical activity, diseases and mental health.

Create a global repository of public data for people with allergies or chronic illnesses, in order to serve as a guidance for rescue services, contact details among others.