Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Azwa Shawani Kamalul Arifin"'
Autor:
Noraidatulakma Abdullah, Nurul Faeizah Husin, Ying-Xian Goh, Mohd Arman Kamaruddin, Mohd Shaharom Abdullah, Aiman Fitri Yusri, Azwa Shawani Kamalul Arifin, Rahman Jamal
Publikováno v:
Digital Health, Vol 10 (2024)
Background The management of extensive longitudinal data in cohort studies presents significant challenges, particularly in middle-income countries like Malaysia where technological resources may be limited. These challenges include ensuring data int
Externí odkaz:
https://doaj.org/article/10ef10b532244239b774e4f1582c6ad8
Autor:
Nor Asiah Muhamad, Rozainanee Mohd Zain, Rimah Melati Ab Ghani, Tahir Aris, Hasmah Mohamad Haris, Nazihah Abd Jalal, Nor Azila Muhammad Azami, Mohd Shaharom Abdullah, Eida Nurhadzira Muhammad, Muhammad Radzi Abu Hassan, Norliza Ismail, Azwa Shawani Kamalul Arifin, Mohd Arman Kamaruddin, Mohd Hatta Abdul Mutalip, Noraidatulakma Abdullah, Raihannah Othman, Rahman Jamal, Nurul Ain Mhd Yusuf
Publikováno v:
Scientific Reports
Malaysia is a country with an intermediate endemicity for hepatitis B. As the country moves toward hepatitis B and C elimination, population-based estimates are necessary to understand the burden of hepatitis B and C for evidence-based policy-making.
Autor:
Rahman Jamal, Rosmina Jaafar, Noraidatulakma Abdullah, Mariatul Akma Hamid, Syakila Mohd Abd Daud, Nur Farawahida Zubiri, Nurul Ain Mhd Yusof, Hafifah Ab Hamid, Mohd Zubir Suboh, Azwa Shawani Kamalul Arifin, Nazrul Anuar Nayan, Mohd Arman Kamaruddin
Background: Cardiovascular disease (CVD) is the leading cause of deaths worldwide. In 2017, CVD contributed to 13,503 deaths in Malaysia. The current approaches for CVD prediction are usually invasive and costly. Machine learning (ML) techniques allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d19088be5137f2d1ac0938c345a2e31e
https://doi.org/10.21203/rs.2.22561/v1
https://doi.org/10.21203/rs.2.22561/v1