Cardiovascular complications in a diabetes prediction model using machine learning: a systematic review.

Autor: Kee OT; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), 56000, Kuala Lumpur, Malaysia., Harun H; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), 56000, Kuala Lumpur, Malaysia., Mustafa N; Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), 56000, Kuala Lumpur, Malaysia., Abdul Murad NA; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), 56000, Kuala Lumpur, Malaysia., Chin SF; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), 56000, Kuala Lumpur, Malaysia., Jaafar R; Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Malaysia., Abdullah N; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), 56000, Kuala Lumpur, Malaysia. noraidatulakma.abdullah@ppukm.ukm.edu.my.; Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), 50300, Kuala Lumpur, Malaysia. noraidatulakma.abdullah@ppukm.ukm.edu.my.

Publikováno v: Cardiovascular diabetology [Cardiovasc Diabetol] 2023 Jan 19; Vol. 22 (1), pp. 13. Date of Electronic Publication: 2023 Jan 19.