Cargando…
Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data
The prediction of obstructive atherosclerotic disease has significant clinical meaning for the decision making. In this study, a machine learning predictive model based on gradient boosting classifier is presented, aiming to identify the patients of high CAD risk and those of low CAD risk. The machi...
Autores principales: | Kigka, Vassiliki I., Georga, Eleni, Tsakanikas, Vassilis, Kyriakidis, Savvas, Tsompou, Panagiota, Siogkas, Panagiotis, Michalis, Lampros K., Naka, Katerina K., Neglia, Danilo, Rocchiccioli, Silvia, Pelosi, Gualtiero, Fotiadis, Dimitrios I., Sakellarios, Antonis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221964/ https://www.ncbi.nlm.nih.gov/pubmed/35741275 http://dx.doi.org/10.3390/diagnostics12061466 |
Ejemplares similares
-
Error Propagation in the Simulation of Atherosclerotic Plaque Growth and the Prediction of Atherosclerotic Disease Progression
por: Sakellarios, Antonis I., et al.
Publicado: (2021) -
Simulation of atherosclerotic plaque growth using computational biomechanics and patient-specific data
por: Pleouras, Dimitrios S., et al.
Publicado: (2020) -
An All-in-One Tool for 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction
por: Kyriakidis, Savvas, et al.
Publicado: (2023) -
SmartFFR, a New Functional Index of Coronary Stenosis: Comparison With Invasive FFR Data
por: Siogkas, Panagiotis K., et al.
Publicado: (2021) -
Serum Biomarkers in Carotid Artery Disease
por: Kigka, Vassiliki I., et al.
Publicado: (2021)