Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry

Autor: Ahmad R. Alsaber, Adeeba Al-Herz, Balqees Alawadhi, Iyad Abu Doush, Parul Setiya, Ahmad T. AL-Sultan, Khulood Saleh, Adel Al-Awadhi, Eman Hasan, Waleed Al-Kandari, Khalid Mokaddem, Aqeel A. Ghanem, Yousef Attia, Mohammed Hussain, Naser AlHadhood, Yaser Ali, Hoda Tarakmeh, Ghaydaa Aldabie, Amjad AlKadi, Hebah Alhajeri

Publikováno v: Frontiers in Big Data, Vol 7 (2024)

BackgroundRheumatoid arthritis (RA) is a common condition treated with biological disease-modifying anti-rheumatic medicines (bDMARDs). However, many patients exhibit resistance, necessitating the use of machine learning models to predict remissions

Externí odkaz: https://doaj.org/article/c26da414dc634e45afbbfbd0088c6248

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Influence of Ambient Air Pollution on Rheumatoid Arthritis Disease Activity Score Index

Autor: Ahmad Alsaber, Jiazhu Pan, Adeeba Al-Herz, Dhary Alkandary, Adeeba Al-Hurban, Parul Setiya, null on behalf of the KRRD Group

Publikováno v: International Journal of Environmental Research and Public Health, Vol 17, Iss 2, p 416 (2020)
International Journal of Environmental Research and Public Health
Volume 17
Issue 2

Rheumatoid arthritis (RA) is a chronic autoimmune of an unknown etiology. Air pollution has been proposed as one of the possible risk factors associated with disease activity, although has not been extensively studied. In this study, we measured the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62296cab97400e807a51a02eb2f29ee6
https://www.mdpi.com/1660-4601/17/2/416

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