Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62836, first published .
Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Development and Validation

Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Development and Validation

Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Development and Validation

Journals

  1. Yu Y, Liu Y, Zhu X, Ni Y, Dai R, Cao H, Shi G, Feng Y. The clinical features and mortality predictors for idiopathic inflammatory myopathies: a retrospective study of 572 patients and the “AIRMT” Score. Clinical Rheumatology 2025;44(8):3253 View
  2. Juarez-Gomez C, Aguilar-Vazquez A, Gonzalez-Gauna E, Garcia-Ordoñez G, Martin-Marquez B, Gomez-Rios C, Becerra-Jimenez J, Gaspar-Ruiz A, Vazquez-Del Mercado M. Integrating Machine Learning into Myositis Research: a Systematic Review. Clinical Reviews in Allergy & Immunology 2025;68(1) View
  3. Chaudhari D, Kamboj P. Harnessing Machine Learning and Deep Learning for Non-Communicable Disease Diagnosis: an In-Depth analysis. Archives of Computational Methods in Engineering 2025 View
  4. Wang G, Yan D, Zhang Y, Liu C, Liu Z. Serum lactate dehydrogenase and rapidly progressive interstitial lung disease are associated with increased mortality in anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis. Frontiers in Immunology 2025;16 View