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This paper is in the following e-collection/theme issue:

Clinical Informatics (2454) Respiratory Medicine (225) Precision Medicine and Genetics (108) Machine Learning (3404)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62836, first published .
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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

Authors of this article:

Hui Li1, 2 Author Orcid Image ;   Ruyi Zou1 Author Orcid Image ;   Hongxia Xin3 Author Orcid Image ;   Ping He4 Author Orcid Image ;   Bin Xi5 Author Orcid Image ;   Yaqiong Tian1 Author Orcid Image ;   Qi Zhao1 Author Orcid Image ;   Xin Yan1 Author Orcid Image ;   Xiaohua Qiu1 Author Orcid Image ;   Yujuan Gao1 Author Orcid Image ;   Yin Liu1 Author Orcid Image ;   Min Cao1 Author Orcid Image ;   Bi Chen5 Author Orcid Image ;   Qian Han6 Author Orcid Image ;   Juan Chen3 Author Orcid Image ;   Guochun Wang7 Author Orcid Image ;   Hourong Cai1 Author Orcid Image
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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 2026;33(2):2253 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
  5. Huang W, Ren F, Qian K, Jiang Y, Zhang Y, Tang L. Evaluating the value of lactic dehydrogenase in anti-MDA5-positive Dermatomyositis associated with interstitial lung disease. Frontiers in Medicine 2026;13 View
  6. Huo X, Yang Y, Wei C, Huang X, Lin J, Lin Y. Preliminary nomogram model for predicting respiratory failure of patients with idiopathic inflammatory myopathies. Scientific Reports 2026;16(1) View
  7. He L, Chen Y, Zhang J, Yang K, Yu S, Yan Y, Bian Y, Guo Y, Jin C. Clinical variables and quantitative CT radiomics for mortality risk stratification after acute exacerbation of idiopathic inflammatory myopathy-associated interstitial lung disease. Frontiers in Immunology 2026;17 View
  8. Zuo Z, Yang J, Li J, Li R, Liu W. Candidate molecular endotypes and dynamic risk prediction in anti-MDA5-positive dermatomyositis-associated interstitial lung disease: a systematic scoping review. Frontiers in Immunology 2026;17 View
  9. Teo T, Chew L, Yeong N, Lim J. Mapping mortality predictors and prognostic models in anti-MDA5 dermatomyositis-associated RP-ILD: a scoping review. Clinical Rheumatology 2026 View
  10. Yu L, Wang Y, Zheng Y, Hu J, Yang J, Chai Y, Sun J, Li F. Prognostic assessment of acute exacerbation of interstitial lung disease: From conventional models to artificial intelligence-driven models. Therapeutic Advances in Respiratory Disease 2026;20 View