There are 1 repository under medical-data topic.
resources about federated learning and privacy in machine learning
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
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.
Cloud-based user interface for ScanHub, an open-source and multi-modal acquisition platform for medical data
Extractive summarizationof medical transcriptions
A private blockchain developed in Ethereum for a network of Raspberry Pis
ScrapeMed: Data scraping for PubMed Central.
LightGBM no-show predictor + AWS deployment (EC2 + Elastic Beanstalk)
The code used to collect data about medical journal papers with at least 1 student author since 2012
Risk Factor Analysis for Medical Data, Open-source Machine Learning Platform
A Flutter application to allow users manage their own medical data
Develop a NLP classifier for detecting medical domains in texts, using a Siamese Neural Network. Libraries: PyTorch, HuggingFace, scikit-learn, Plotly
🫀 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.
https://arxiv.org/abs/2201.06499
An approach to curating naturally adversarial datasets.
This repository contains the medical data science course codes, presented in "maktabkhooneh".
Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification
Open Medical Data
Deep Learning (CNN) for prediction of severity in subjects suffering from sleep breathing disorders.
Udemy Course: Applied Machine Learning For Healthcare
The "US Medical Insurance Costs" project explores and analyzes a dataset containing medical insurance costs for patients in the United States. The project was completed as part of the Codecademy Data Science Career Path.
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.
CANINE for Medical Natural Language Inference on MedNLI data, as part of the Algorithms for Speech and NLP course of the MVA master program.
In this project, we propose to deal with the data scarcity problem in a specific NLP task by harnessing existing annotated datasets from related tasks. Our approach involves training a multi-head architecture concurrently on both the main task and these “supporting” tasks. We experimented this approach on medical NLP tasks and on three GLUE tasks.
A Python bootcamp for medical students designed to teach basic DICOM and imaging data handling skills.
Using a RNN to detect pathological gaits from sequential skeleton data collected with an Azure Kinect sensor (link below).