Sengupta, R., Narasimham, S., Mato, B. S., Meglic, M., Perella, C., Pamies, P., & Emery, P. (2022). P261 Early and accurate diagnosis of patients with axial spondyloarthritis using machine learning: A predictive analysis from electronic health records in the United Kingdom. Rheumatology (Oxford, England), 61(Supplement_1), . https://doi.org/10.1093/rheumatology/keac133.260
Chicago Style (17th ed.) CitationSengupta, Raj, Shruti Narasimham, Borja S. Mato, Matic Meglic, Chiara Perella, Paula Pamies, and Paul Emery. "P261 Early and Accurate Diagnosis of Patients with Axial Spondyloarthritis Using Machine Learning: A Predictive Analysis from Electronic Health Records in the United Kingdom." Rheumatology (Oxford, England) 61, no. Supplement_1 (2022). https://doi.org/10.1093/rheumatology/keac133.260.
MLA (9th ed.) CitationSengupta, Raj, et al. "P261 Early and Accurate Diagnosis of Patients with Axial Spondyloarthritis Using Machine Learning: A Predictive Analysis from Electronic Health Records in the United Kingdom." Rheumatology (Oxford, England), vol. 61, no. Supplement_1, 2022, https://doi.org/10.1093/rheumatology/keac133.260.