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Pengenalpastian faktor-faktor risiko ini perlu dijalankan dengan lebih meluas dan robust supaya hasil dapatan
kajian ini akan memperoleh pengetahuan baru atau Knowledge Discovery of Database (KDD).

Penghargaan

Setinggi-tinggi perhargaan kepada semua pensyarah program Sains Data di Fakulti Teknologi dan Sains
Maklumat UKM, pakar-pakar dan pegawai perubatan di Jabatan Pembedahan Kardiotorasik IJN, Pengarah,
Ketua Jabatan dan ahli Unit Pengurusan Data dan Bantuan Biostatistik di Jabatan Penyelidikan Klinikal IJN,
atas tunjuk ajar dan kerjasama yang diberikan semasa kajian ini dijalankan.

Rujukan

Allyn, J., Allou, N., Augustin, P., Philip, I., Martinet, O., Belghiti, M., Provenchere, S., Montravers, P., &
Ferdynus, C. (2017). A comparison of a machine learning model with EuroSCORE II in predicting mortality
after elective cardiac surgery: A decision curve analysis. PLoS ONE, 12(1), 1–12.
https://doi.org/10.1371/journal.pone.0169772
Benedetto, U., Dimagli, A., Sinha, S., Cocomello, L., Gibbison, B., Caputo, M., Gaunt, T., Lyon, M., Holmes,
C., & Angelini, G. D. (2020). Machine learning improves mortality risk prediction after cardiac surgery :
Systematic review and meta-analysis. The Journal of Thoracic and Cardiovascular Surgery.
https://doi.org/10.1016/j.jtcvs.2020.07.105
Benedetto, U., Sinha, S., Lyon, M., Dimagli, A., Angelini, G., & Sterne, J. (2020). Can machine learning
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Garcia-Valentin, A., Mestres, C. A., Bernabeu, E., Bahamonde, J. A., Martín, I., Rueda, C., Domenech, A.,
Valencia, J., Fletcher, D., Machado, F., & Amores, J. (2015). Validation and quality measurements for
EuroSCORE and EuroSCORE II in the Spanish cardiac surgical population: A prospective, multicentre study.
European Journal of Cardio-Thoracic Surgery, 49(2), 399–405. https://doi.org/10.1093/ejcts/ezv090
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& Cremer, J. (2009). EuroSCORE overestimates the risk of cardiac surgery: Results from the national registry
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Kartal, El., & Balaban, M. E. (2018). Machine learning techniques in cardiac risk assessment. 26(3), 394–
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Mejia, O. A. V., Antunes, M. J., Goncharov, M., Dallan, L. R. P., Veronese, E., Lapenna, G. A., Lisboa, L. A.
F., Dallan, L. A. O., Pomerantzeff, P. M. A., Brandão, C. M. A., Tarasoutchi, F., Zubelli, J., & Jatene, B.
(2018). Predictive performance of six mortality risk scores and the development of a novel model in a
prospective cohort of patients undergoing valve surgery secondary to rheumatic fever. 1–14.
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Artificial Intelligence in the 4th Industrial Revolution