Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kamalul Arifin AS"'
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:
Abdullah, Noraidatulakma, Blin, Joan Anak, Kamalul Arifin, Azwa Shawani, Abd Jalal, Nazihah, Ismail, Norliza, Mohd Yusof, Nurul Ain, Abdullah, Mohd Shaharom, Husin, Nurul Faeizah, Dauni, Andri, Kamaruddin, Mohd Arman, Mohammed Nawi, Azmawati, Ahmad, Norfazilah, Hassan, Mohd Rohaizat, Jamal, Rahman
Publikováno v:
In Current Problems in Cardiology March 2024 49(3)
Autor:
Nazihah Abd Jalal, Azwa Shazwani Kamalul Arifin, Mohd Arman Kamaruddin, Noraidatulakma Abdullah, Rahman Jamal, Raihannah Othman, Norliza Ismail, Farazela Mohd Radin
Publikováno v:
Annals of Hematology. 99:2521-2527
This study was aimed at determining the prevalence of anaemia amongst the Malaysian Cohort participants and the associated risk factors. This was a cross-sectional study that involved 102,388 participants from The Malaysian Cohort (TMC) aged between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f9f0b6ec251b3ca39297131f2b840f0
https://doi.org/10.1007/s00277-020-04279-w
https://doi.org/10.1007/s00277-020-04279-w
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c00cd4fc6fdb04824d5e42c5cffb40dd
https://doi.org/10.1038/s41598-020-77813-5
https://doi.org/10.1038/s41598-020-77813-5
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Noraidatulakma Abdullah, Mohd Arman Kamaruddin, Nor Azian Abdul Murad, Azwa Shazwani Kamalul Arifin, Raihannah Othman, Rahman Jamal, Mohd Raziff Alias
Publikováno v:
American Heart Journal. 229:171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f999997a423bc00c4b3e2a7df7efe9de
https://doi.org/10.1016/j.ahj.2020.10.035
https://doi.org/10.1016/j.ahj.2020.10.035
Autor:
Suboh Mohd Zubir, Abdullah Noraidatulakma, A. Jamal Rahman, Zubiri Nur Farawahida, Mhd Yusof Nurul Ain, Kamaruddin Mohd Arman, Jaafar Rosmina, Mohd Abd Daud Syakila, Kamalul Arifin Azwa Shawani, Nayan Nazrul Anuar, Ab Hamid Hafifah, Hamid Mariatul Akma
Publikováno v:
International Journal of Online and Biomedical Engineering, Vol 16, Iss 07, Pp 34-48 (2020)
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 allow an accurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::827893b4ecebca7131335fe8e2e814c4
https://doi.org/10.3991/ijoe.v16i07.13569
https://doi.org/10.3991/ijoe.v16i07.13569
Autor:
Muhamad, Nor Asiah, Ab.Ghani, Rimah Melati, Abdul Mutalip, Mohd Hatta, Muhammad, Eida Nurhadzira, Mohamad Haris, Hasmah, Mohd Zain, Rozainanee, Abdullah, Noraidatulakma, Muhammad Azami, Nor Azila, Abd Jalal, Nazihah, Ismail, Norliza, Mhd Yusuf, Nurul Ain, Othman, Raihannah, Kamalul Arifin, Azwa Shawani, Abdullah, Mohd Shaharom, Kamaruddin, Mohd Arman, Abu Hassan, Muhammad Radzi, Aris, Tahir, Jamal, Rahman
Publikováno v:
Scientific Reports; 12/3/2020, Vol. 10 Issue 1, pN.PAG-N.PAG, 1p
Autor:
Abdullah N; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Husin NF; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Goh YX; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Kamaruddin MA; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Abdullah MS; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Yusri AF; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Kamalul Arifin AS; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Jamal R; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Publikováno v:
Digital health [Digit Health] 2024 Sep 12; Vol. 10, pp. 20552076241277481. Date of Electronic Publication: 2024 Sep 12 (Print Publication: 2024).