resources about federated learning and privacy in machine learning
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Updated
Jan 10, 2023
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.
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 .
HL7 FHIR client library. Sync and async crud operations against R4 FHIR servers. Resource validation & serialization
I list all the medical data sets I find in my researches.
Extractive summarizationof medical transcriptions
Cloud-based user interface for ScanHub, an open-source and multi-modal acquisition platform for medical data
A private blockchain developed in Ethereum for a network of Raspberry Pis
ScrapeMed: Data scraping for PubMed Central.
Develop a NLP classifier for detecting medical domains in texts, using a Siamese Neural Network. Libraries: PyTorch, HuggingFace, scikit-learn, Plotly
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
🫀 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.
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