[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives

MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

Multimorbidity in rheumatoid arthritis: literature review and future directions

J Katz, CM Bartels - Current Rheumatology Reports, 2024 - Springer
Abstract Purpose of Review To offer a narrative review of literature and an update on
rheumatoid arthritis (RA) multimorbidity research over the past five years as well as future …

Using unsupervised machine learning methods to cluster comorbidities in a population‐based cohort of patients with rheumatoid arthritis

CS Crowson, TM Gunderson, JM Davis III… - Arthritis care & …, 2023 - Wiley Online Library
Objective To identify clusters of comorbidities in patients with rheumatoid arthritis (RA) using
4 methods and to compare to patients without RA. Methods In this retrospective, population …

A survey of artificial intelligence in rheumatoid arthritis

J Wang, Y Tian, T Zhou, D Tong, J Ma… - Rheumatology and …, 2023 - degruyter.com
The article offers a survey of currently notable artificial intelligence methods (released
between 2019-2023), with a particular emphasis on the latest advancements in detecting …

Multimorbidity patterns and rheumatoid arthritis disease outcomes: findings from a multicenter, prospective cohort

S Dutt, P Roul, Y Yang, TM Johnson… - Arthritis Care & …, 2023 - Wiley Online Library
Objective To determine whether unique multimorbidity patterns are associated with long‐
term rheumatoid arthritis (RA) disease severity. Methods We conducted a cohort study within …

Comparing a new multimorbidity index with other multimorbidity measures for predicting disability trajectories

HW Xu, H Liu, Y Luo, K Wang, MN To, YM Chen… - Journal of Affective …, 2024 - Elsevier
Background The optimal multimorbidity measures for predicting disability trajectories are not
universally agreed upon. We developed a multimorbidity index among middle-aged and …

Classification of long-term condition patterns in rheumatoid arthritis and associations with adverse health events: a UK Biobank cohort study

P McLoone, BD Jani, S Siebert… - Journal of …, 2023 - journals.sagepub.com
Purpose We aimed to classify individuals with RA and≥ 2 additional long-term conditions
(LTCs) and describe the association between different LTC classes, number of LTCs and …

The Multimorbidity Web in rheumatoid arthritis

BR England - Rheumatology, 2023 - academic.oup.com
Multimorbidity, the presence of multiple chronic conditions, is highly prevalent in people with
RA. An essential characteristic of multimorbidity is the interrelatedness of the different …

The Veterans Affairs Rheumatoid Arthritis Registry: A unique population in rheumatoid arthritis research

TR Mikuls, JF Baker, GW Cannon, BR England… - Seminars in Arthritis and …, 2024 - Elsevier
Background As the largest integrated healthcare system in the US, the Veterans Affairs (VA)
provides a unique context for the conduct of clinical and clinical-translational research in …

Patterns of comorbidities differentially affect long-term functional evolution and disease activity in patients with 'difficult to treat'rheumatoid arthritis

A Bertsias, ID Flouri, A Repa, N Avgoustidis… - RMD open, 2024 - rmdopen.bmj.com
Background Characterisation of the long-term outcome of patients with 'difficult to treat'(D2T)
rheumatoid arthritis and factors contributing to its evolution are unknown. Herein, we …