Vulnerability-Lookup facilitates quick correlation of vulnerabilities from various sources, independent of vulnerability IDs, and streamlines the management of Coordinated Vulnerability Disclosure (CVD).
Vultron is a protocol for Coordinated Vulnerability Disclosure
A Python client for the Global CVE Allocation System.
This repo includes the pipeline used to link and curate CVD PREVENT audit data to HES and death registration data into two tables. These are subsequently sent to OHID for analysis and publication.
Register `cividis` with matplotlib, a color map optimized for color vision deficiency, as published in Nuñez, et al. (2018), PLoS ONE 13(7): e0199239 .
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
Classification of Cardiovascular Disorders using machine learning, Data Analysis of NHANES dataset and Visualizaiong the results
This script uses a CNN in TensorFlow to classify chest X-ray images into “COVID,” “Normal,” and “Pneumonia.” It trains the model for 10 epochs and evaluates performance with accuracy plots, displaying predictions on test images.
Repository for simulation files and input/output files used in the hypertension treatment coverage and adherence study.
An advanced machine learning application that predicts heart disease risk using XGBoost. Built with Streamlit and trained on over 300,000 US health records, achieving 91.5% prediction accuracy.
A detailed comparative analysis with proposed best model to detect CVDs early
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