Publications

Highlighted publications

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RPA3-UMAD1 rs12702634 and rheumatoid arthritis-associated interstitial lung disease in European ancestry

Published in Rheumatology Advances in Practice, 2024

Replicating an association in the Japanese population between RA-associated interstitial lung disease (ILD) and RPA3-UMAD1 rs12702634, in a European population.

Recommended citation: Juge PA, Knevel R. (2024) "RPA3-UMAD1 rs12702634 and rheumatoid arthritis-associated interstitial lung disease in European ancestry." Rheumatol Adv Pract.
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Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records

Published in Computers in Biology and Medicine, 2023

Identifying ANCA-associated vasculitis (AAV) patients using AI

Recommended citation: van Leeuwen JR, Knevel R. (2023) "Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records." Comput Biol Med.
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Is glucocorticoid bridging therapy associated with later use of glucocorticoids and biological DMARDs during the disease course of patients with rheumatoid arthritis in daily practice? A real-world data analysis

Published in Seminars in Arthritis and Rheumatism, 2023

Evaluating if initially starting glucocorticoid (GC) bridging leads to a higher probability of long-term GC and biological (b)DMARD use in rheumatoid arthritis (RA)-patients.

Recommended citation: van Ouwerkerk L, Bergstra SA, Maarseveen TD, Huizinga TWJ, Knevel R, Allaart CF. (2024) Is glucocorticoid bridging therapy associated with later use of glucocorticoids and biological DMARDs during the disease course of patients with rheumatoid arthritis in daily practice? A real-world data analysis." Semin Arthritis Rheum.
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Rheumatic? A Digital Diagnostic Decision Support Tool for Individuals Suspecting Rheumatic Diseases: A Multicenter Pilot Validation Study

Published in Frontiers in Medicine, 2022

Development of the digital decision support tool Rheumatic? for the early referral of individuals at risk for a rheumatic disease

Recommended citation: Knevel, R. (2022). "Rheumatic? A Digital Diagnostic Decision Support Tool for Individuals Suspecting Rheumatic Diseases: A Multicenter Pilot Validation Study" Front Med
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A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history

Published in JAMIA, 2022

Development of a framework for the clustering of patient populations based on medical billing codes recorded in standard EHRs as well as PheSpecs

Recommended citation: Maurits, MP. (2022). "A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history" JAMIA.
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Determining in which pre-arthritis stage HLA-shared epitope alleles and smoking exert their effect on the development of rheumatoid arthritis

Published in Annals of the Rheumatic Diseases, 2021

Pinpointing the disease stage at which common genetic and environmental risk factors for rheumatoid arthritis exert their effects

Recommended citation: Wouters F, Maurits MP (2021). "Determining in which pre-arthritis stage HLA-shared epitope alleles and smoking exert their effect on the development of rheumatoid arthritis" Ann Rheum Dis.
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Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free text by diagnosis extraction through machine learning or traditional criteria based chart review

Published in Arthritis Research & Therapy, 2021

Comparison of RA patient populations identified from EHR free text by diagnosis extraction through machine learning or traditional criteria based chart review

Recommended citation: Maarseveen, TD. & Maurits, MP. (2021). "Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free text by diagnosis extraction through machine learning or traditional criteria based chart review" Arthritis Res Ther.
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Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study

Published in JMIR, 2020

Development of a pipeline for the construction of ML models capable of identifying physician diagnosis of RA from free written EHR entries

Recommended citation: Maarseveen, TD. (2020). "Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study" JMIR.
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