A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease
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Updated
Oct 29, 2022 - Python
A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease
VasculAR - Integration of Deep Learning into automatic volumetric cardiovascular dissection and reconstruction in simulated 3D space for medical practice
Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)
Coronary heart disease analysis, dataset - https://www.kaggle.com/datasets/billbasener/coronary-heart-disease. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.
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