This project is release by KuoCh'ing Chang. We shooting this project to solve medical text processing.
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Updated
May 21, 2024 - Python
This project is release by KuoCh'ing Chang. We shooting this project to solve medical text processing.
The backend web service server that i2b2-client talks to. Based on an Express server and Sequelize ORM.
Predict next state of COVID patient from EHR information, treatment strategy and previous states
This is the Pytorch implementation of the paper in Journal of Periodontology "Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination". https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.21-0492
In this notebook, I built gradient boosting classifier and neural network models to classify and predict the survival rate of patients with breast cancer.
My first public ML repository. It focuses on the Cleveland Heart Disease dataset. In this repository I go through the entire process of analysing data, building a ML model and tuning it.
PIP is a recursive multicipher for medicals' documents and patients' chart verifying throught SHA-512-Vegenér algorithms embed in rookie ICD-11 and patient's IDs for hashing generation.
A self-contained setup for running and interacting with XNAT using Docker and docker-compose
SMART on FHIR version of Biligram, which integrates with EMR's to plot pre-discharge bilirubin nomograms for term and pre-term infants.
The final project of "Applying AI to EHR Data" of "AI for Healthcare" nanodegree - Udacity.
R package for medical/health/clinical data analysis
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