Highlighted publications
You can also find our articles on PubMed.
Published in RMD Open, 2023
Describing the barriers to implementing RPM and possible improvements
Recommended citation: Knevel, R. (2023). "Recommendation to implementation of remote patient monitoring in rheumatology: lessons learned and barriers to take" RMD Open. https://doi.org/10.1136/rmdopen-2023-003363
Published in Genes, 2023
A review of recent applications of genetic risk scores in rheumatic disease research
Recommended citation: Vaskimo, L. (2023) "The Application of Genetic Risk Scores in Rheumatic Diseases: A Perspective" Genes. https://doi.org/10.3390/genes14122167
Published in RMD Open, 2023
Examining usability and acceptance of the online symptom checken Rheumatic
Recommended citation: Lundberg K, Qin L. (2023) "Population-based user-perceived experience of Rheumatic?: a novel digital symptom-checker in rheumatology" RMD Open. https://doi.org/10.1136/rmdopen-2022-002974
Published in ARD, 2022
Review on using AI to leverage EHR data for real-world results
Recommended citation: Knevel, R. (2022) "From real-world electronic health record data to real-world results using artificial intelligence" ARD. https://ard.bmj.com/content/82/3/306
Published in RMD Open, 2022
Educational viewpoint opening up the discussion on e-Health
Recommended citation: Knevel, R. (2022) "E-health as a sine qua non for modern healthcare" RMD Open. https://rmdopen.bmj.com/content/8/2/e002401
Published in A&R, 2022
Investigation of the contribution of genetic risk factors for RA to the distinction between healthy controls, CSA patients and RA patients
Recommended citation: Maurits, MP. (2022). "The Role of Genetics in Clinically Suspect Arthralgia and Rheumatoid Arthritis Development: a Large Cross-Sectional Study" A&R. https://onlinelibrary.wiley.com/doi/10.1002/art.42323
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 https://www.frontiersin.org/articles/10.3389/fmed.2022.774945/full
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. https://academic.oup.com/jamia/article/29/5/761/6525611
Published in IVAPP Proceedings, 2022
Survey investigating the possibility of mitigating the inflation of word frequency guesstimation resulting from scaling font size on frequency rather than surface area
Recommended citation: Maurits, MP. (2022). "Lifting the Fog on Word Clouds: An Evaluation of Interpretability in 234 Individuals" IVAPP. https://www.scitepress.org/Link.aspx?doi=10.5220/0010778700003124
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. https://doi.org/10.1136/annrheumdis-2021-220546
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. https://arthritis-research.biomedcentral.com/articles/10.1186/s13075-021-02553-4
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. https://medinform.jmir.org/2020/11/e23930/
Published in RMD Open, 2020
Development of a model for the identification of SSc carepath patients at low risk for progression of disease
Recommended citation: Maurits, MP. (2020) "New risk model is able to identify patients with a low risk of progression in systemic sclerosis" RMD Open. https://rmdopen.bmj.com/content/7/2/e001524
Published in Science Translational Medicine, 2020
Development of the Genetic Probability tool which supports early triage of patients with arthritis using differential genetic risk profiles
Recommended citation: Knevel, R. (2020). "Using genetics to prioritize diagnoses for rheumatology outpatients with inflammatory arthritis" Science Translational Medicine. https://www.science.org/doi/10.1126/scitranslmed.aay1548
Published in Science Translational Medicine, 2020
Development of the Genetic Probability tool which supports early triage of patients with arthritis using differential genetic risk profiles
Recommended citation: Knevel, R. (2020). "Using genetics to prioritize diagnoses for rheumatology outpatients with inflammatory arthritis" Science Translational Medicine. https://www.science.org/doi/10.1126/scitranslmed.aay1548