Can machine learning unravel the complex IIM spectrum?
- PMID: 32221511
- DOI: 10.1038/s41584-020-0412-6
Can machine learning unravel the complex IIM spectrum?
References
-
- Bohan, A. & Peter, J. B. Polymyositis and dermatomyositis (first of two parts). N. Engl. J. Med. 292, 344–347 (1975). - DOI
-
- Bohan, A. & Peter, J. B. Polymyositis and dermatomyositis (second of two parts). N. Engl. J. Med. 292, 403–407 (1975). - DOI
-
- Bohan, A. et al. Computer-assisted analysis of 153 patients with polymyositis and dermatomyositis. Medicine (Baltimore) 56, 255–286 (1977). - DOI
-
- Lundberg, I. E. et al. 2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups. Arthritis Rheumatol. 69, 2271–2282 (2017). - DOI
-
- Eng, S. W. M. et al. A clinically and biologically based subclassification of the idiopathic inflammatory myopathies using machine learning. ACR Open Rheumatol. 2, 158–166 (2020). - DOI
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