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
Research data management in biomedical and machine learning applications
Extractive summarizationof medical transcriptions
HL7 FHIR client library. Sync and async crud operations against R4 FHIR servers. Resource validation & serialization
watchlib is a Python module providing tools for loading, analyzing and visualizing Apple Watch health data.
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Develop a NLP classifier for detecting medical domains in texts, using a Siamese Neural Network. Libraries: PyTorch, HuggingFace, scikit-learn, Plotly
I list all the medical data sets I find in my researches.
Deep Learning (CNN) for prediction of severity in subjects suffering from sleep breathing disorders.
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 .
Electronic health record management system provide standards inside healthcare organizations for the exchange, integration, sharing and retrieval of electronic health information; support clinical practice; and support the management, delivery and evaluation of health services.
LightGBM no-show predictor + AWS deployment (EC2 + Elastic Beanstalk)
Cloud-based user interface for ScanHub, an open-source and multi-modal acquisition platform for medical data
Udemy Course: Applied Machine Learning For Healthcare
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
ScrapeMed: Data scraping for PubMed Central.
With the implementation of this project, patients have gained ownership over their data, ensuring privacy and control. And now Patient can earn money by selling his data using NFT's
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