Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry
The proposed machine learning model system effectively identifies clinical features predicting remission in bDMARDs, potentially improving treatment efficacy in rheumatoid arthritis patients.
Authors
- Mohammed Hussain
- Iyad Abu Doush (ORCID: https://orcid.org/0000-0001-7200-0032)
- Adeeba Al‐Herz (ORCID: https://orcid.org/0000-0001-7059-1385)
- Parul Setiya (ORCID: https://orcid.org/0000-0001-5454-6891)
- Amjad Alkadi (ORCID: https://orcid.org/0000-0002-9503-8559)
- Khalid Mokaddem
- Hoda Tarakmeh
- Waleed Al‐Kandari (ORCID: https://orcid.org/0000-0002-2710-0963)
- Naser Alhadhood (ORCID: https://orcid.org/0000-0002-5290-2255)
- Hebah Alhajeri
- Balqees Alawadhi (ORCID: https://orcid.org/0000-0003-4950-0930)
- Ghaydaa Aldabie
- Ahmad Alsaber (ORCID: https://orcid.org/0000-0001-9478-0404)
- A. Al-Sultan
- Yaser Ali (ORCID: https://orcid.org/0000-0002-4721-831X)
- Eman Hasan
- Adel Al‐Awadhi (ORCID: https://orcid.org/0000-0002-9550-3377)
- Aqeel Ghanem
- Yousef Attia
- Khulood Saleh
Institutions
- Farwaniya Hospital (KW)
- Amiri Hospital (KW)
- American University of Kuwait (KW)
- Yarmouk University (JO)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2024-10-03
- DOI
- https://doi.org/10.3389/fdata.2024.1406365
- Citations
- 8
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 3.76
Funders
- Kuwait Foundation for the Advancement of Sciences