Kim, J.O.;                     Jeong, Y.-S.;                     Kim, J.H.;                     Lee, J.-W.;                     Park, D.;                     Kim, H.-S.    
        Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database. Diagnostics 2021, 11, 943.
    https://doi.org/10.3390/diagnostics11060943
    AMA Style
    
                                Kim JO,                                 Jeong Y-S,                                 Kim JH,                                 Lee J-W,                                 Park D,                                 Kim H-S.        
                Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database. Diagnostics. 2021; 11(6):943.
        https://doi.org/10.3390/diagnostics11060943
    
    Chicago/Turabian Style
    
                                Kim, Joung Ouk (Ryan),                                 Yong-Suk Jeong,                                 Jin Ho Kim,                                 Jong-Weon Lee,                                 Dougho Park,                                 and Hyoung-Seop Kim.        
                2021. "Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database" Diagnostics 11, no. 6: 943.
        https://doi.org/10.3390/diagnostics11060943
    
    APA Style
    
                                Kim, J. O.,                                 Jeong, Y.-S.,                                 Kim, J. H.,                                 Lee, J.-W.,                                 Park, D.,                                 & Kim, H.-S.        
        
        (2021). Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database. Diagnostics, 11(6), 943.
        https://doi.org/10.3390/diagnostics11060943