Kennedy, J., Kennedy, T., Cooksey, R., Choy, E., Siebert, S., Rahman, M., & Brophy, S. (2023). Predicting a diagnosis of ankylosing spondylitis using primary care health records–A machine learning approach. PLOS ONE, 18(3), p. e0279076. doi:10.1371/journal.pone.0279076
Chicago Style CitationKennedy, Jonathan, Tash Kennedy, Roxanne Cooksey, Ernest Choy, Stefan Siebert, Muhammad Rahman, and Sinead Brophy. "Predicting a Diagnosis of Ankylosing Spondylitis Using Primary Care Health Records–A Machine Learning Approach." PLOS ONE 18, no. 3 (2023): e0279076.
MLA CitationKennedy, Jonathan, et al. "Predicting a Diagnosis of Ankylosing Spondylitis Using Primary Care Health Records–A Machine Learning Approach." PLOS ONE 18.3 (2023): e0279076.
Warning: These citations may not always be 100% accurate.