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...

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Detalles Bibliográficos
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:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221964/
https://www.ncbi.nlm.nih.gov/pubmed/35741275
http://dx.doi.org/10.3390/diagnostics12061466

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