Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial

Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial

Developing risk assessment tools for CAD prediction remains challenging nowadays. We developed an ML predictive algorithm based on metabolic and clinical data for determining the severity of CAD, as assessed via the SYNTAX score. Analytical methods were developed to determine serum blood levels of s...

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Bibliographic Details
Main Authors: Eleftherios Panteris, Olga Deda, Andreas S. Papazoglou, Efstratios Karagiannidis, Theodoros Liapikos, Olga Begou, Thomas Meikopoulos, Thomai Mouskeftara, Georgios Sofidis, Georgios Sianos, Georgios Theodoridis, Helen Gika
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Metabolites
Subjects:
metabolic markers
ceramides
acylcarnitines
lipids
biomarkers
coronary artery disease
Online Access:https://www.mdpi.com/2218-1989/12/9/816

Internet

https://www.mdpi.com/2218-1989/12/9/816

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