Trosolwg
Mae Dr Muhammad Azizur Rahman yn Ddarlithydd mewn Gwyddor Data ym Mhrifysgol Metropolitan Caerdydd. Mae'n weithiwr proffesiynol ym maes TG ac ymchwilydd profiadol mewn ystod eang o bynciau sy'n ymwneud â maes eang Cyfrifiadura / Gwyddor Data ac yn ddefnyddiwr ieithoedd ymholi rhaglenni, ystadegau, Efelychydd Rhwydwaith, NS-2 / NAM, GLOMOSIM, Rhwydweithiau Cyfrifiadur, Cyfathrebu Peirianneg Meddalwedd, dulliau ac offer Efelychu Rhwydwaith, Modelu, Ontolegau Ffurfiol. Mae Rahman wedi bod yn gweithio gyda chronfeydd data mawr iawn o ddata a gesglir yn rheolaidd yn ogystal â rhwydwaith cyfathrebu cyfrifiadurol. Ar ôl gweithio mewn lleoliadau Iechyd Meddygol a Phoblogaeth, a rhwydweithio cyfrifiadurol mae gan Rahman brofiad o weithio ac addysgu ar draws gwahanol ddisgyblaethau ac o fewn tîm amlddisgyblaethol iawn.
Cyhoeddiadau Ymchwil
The pattern of anti-IL-6 versus non-anti-IL-6 biologic disease modifying anti-rheumatic drugs use in patients with rheumatoid arthritis in Wales, UK: a real-world study using electronic health records
Cooksey, R., Kennedy, J., Rahman, M., Brophy, S. & Choy, E., 14 Rhag 2024, Yn: Rheumatology Advances in Practice. 9, 1, t. rkae140 rkae140.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Receipt of social services intervention in childhood, educational attainment and emergency hospital admissions: longitudinal analyses of national administrative health, social care, and education data in Wales, UK
Lowthian, E., Moore, G., Evans, A., Anthony, R., Rahman, M. A., Daniel, R., Brophy, S., Scourfield, J., Taylor, C., Paranjothy, S. & Long, S., 21 Hyd 2024, Yn: BMC Public Health. 24, 1, t. 2912 1 t., 2912.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Enhancing Audio Classification Through MFCC Feature Extraction and Data Augmentation with CNN and RNN Models
Rezaul, K. M., Jewel, M., Islam, M. S., Siddiquee, K. N. E. A., Barua, N., Rahman, M. A., Shan-A-Khuda, M., Sulaiman, R. B., Shaikh, M. S. I., Hamim, M. A., Tanmoy, F. M., Haque, A. U., Nipun, M. S., Dorudian, N., Kareem, A., Farid, A. K., Mubarak, A., Jannat, T. & Asha, U. F. T., Gorff 2024, Yn: International Journal of Advanced Computer Science and Applications. 15, 7, t. 37-53 17 t.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Mental health analysis of international students using machine learning techniques
Rahman, M. A., Kohli, T. & Alemayehu, Y. (Golygydd), 6 Meh 2024, Yn: PLoS ONE. 19, 6, t. e0304132 e0304132.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Predicting a diagnosis of ankylosing spondylitis using primary care health records- A machine learning approach
Kennedy, J., Kennedy, N., Cooksey, R., Choy, E., Siebert, S., Rahman, M. & Brophy, S., 31 Maw 2023, Yn: PLoS ONE. 18, 3 MARCH, e0279076.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Tools and Techniques for Teaching and Research in Network Design and Simulation
Rahman, M. A. & Pakstas, A., 17 Maw 2023, Yn: SN Computer Science. 4, 3, 269.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Weighting of risk factors for low birth weight: A linked routine data cohort study in Wales, UK
Bandyopadhyay, A., Jones, H., Parker, M., Marchant, E., Evans, J., Todd, C., Rahman, M. A., Healy, J., Win, T. L., Rowe, B., Moore, S., Jones, A. & Brophy, S., 10 Chwef 2023, Yn: BMJ open. 13, 2, e063836.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective
Zhou, S. M., Lyons, R. A., Rahman, M. A., Holborow, A. & Brophy, S., 10 Ion 2022, Yn: Journal of Personalized Medicine. 12, 1, t. 86 1 t., 86.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Timing of parental depression on risk of child depression and poor educational outcomes: A population based routine data cohort study from Born in Wales, UK
Brophy, S., Todd, C., Rahman, M. A., Kennedy, N. & Rice, F., 17 Tach 2021, Yn: PLoS ONE. 16, 11 November, e0258966.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
Biologic use in psoriatic arthritis and ankylosing spondylitis patients: A descriptive epidemiological study using linked, routine data in Wales, UK
Cooksey, R., Rahman, M. A., Kennedy, J., Brophy, S. & Choy, E., 27 Meh 2021, Yn: Rheumatology Advances in Practice. 5, 2, rkab042.Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid