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...
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 |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Metabolites |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-1989/12/9/816 |
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