Cargando…
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study
BACKGROUND: Financial codes are often used to extract diagnoses from electronic health records. This approach is prone to false positives. Alternatively, queries are constructed, but these are highly center and language specific. A tantalizing alternative is the automatic identification of patients...
Autores principales: | Maarseveen, Tjardo D, Meinderink, Timo, Reinders, Marcel J T, Knitza, Johannes, Huizinga, Tom W J, Kleyer, Arnd, Simon, David, van den Akker, Erik B, Knevel, Rachel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735897/ https://www.ncbi.nlm.nih.gov/pubmed/33252349 http://dx.doi.org/10.2196/23930 |
Ejemplares similares
-
Rheumatic?—A Digital Diagnostic Decision Support Tool for Individuals Suspecting Rheumatic Diseases: A Multicenter Pilot Validation Study
por: Knevel, Rachel, et al.
Publicado: (2022) -
Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs
por: Vodencarevic, Asmir, et al.
Publicado: (2021) -
The Role of Genetics in Clinically Suspect Arthralgia and Rheumatoid Arthritis Development: A Large Cross‐Sectional Study
por: Maurits, Marc P., et al.
Publicado: (2022) -
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
por: Maarseveen, T. D., et al.
Publicado: (2021) -
A Virtual Reality–Based App to Educate Health Care Professionals and Medical Students About Inflammatory Arthritis: Feasibility Study
por: Klemm, Philipp, et al.
Publicado: (2021)