Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection - Alireza, Z.; Maleeha, M.; Kaikkonen, M.; Fortino, V. (Journal of translational medicine, 2024)
Keywords: Biomarkers; Biomedical and Life Sciences; Biomedicine; Computational Modelling and Epidemiology; Coronary Artery Disease - genetics; Feature selection; Genetic Predisposition to Disease; Genetic Risk Score; Genome-Wide Association Study - methods; Genomics; Humans; Machine Learning; Medical genetics; Medicine/Public Health; Protocol; Risk Factors; Biomarkers; Feature selection; Medical genetics; Machine learning