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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Detalles Bibliográficos
Autores principales: Panteris, Eleftherios, Deda, Olga, Papazoglou, Andreas S., Karagiannidis, Efstratios, Liapikos, Theodoros, Begou, Olga, Meikopoulos, Thomas, Mouskeftara, Thomai, Sofidis, Georgios, Sianos, Georgios, Theodoridis, Georgios, Gika, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504538/
https://www.ncbi.nlm.nih.gov/pubmed/36144220
http://dx.doi.org/10.3390/metabo12090816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504538/
https://www.ncbi.nlm.nih.gov/pubmed/36144220
http://dx.doi.org/10.3390/metabo12090816

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