Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

Retrieved on: 2024-01-17 15:45:20

Tags for this article:

Model selection

Business intelligence

Intravascular ultrasound

Medical ultrasonography

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Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression. View article details on hiswai:

Summary

The article presents a model using business intelligence techniques to predict atherosclerotic plaque progression/regression from Intravascular Ultrasound (IVUS) images, incorporating machine learning (specifically, an XGBoost regressor), statistical models, and cross-validation for predictive modelling. The model selection process aims to improve medical ultrasonography predictions, leveraging feature selection and regression analysis to analyze data from the IBIS-4 dataset.

Article found on: www.nature.com

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