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

Secondary Use of Clinical Data for Research and Surveillance (367) Data Science (270) Immunology, Allergy, Rheumatology (89) Electronic Health Records (1055) Decision Support for Health Professionals (1186) Clinical Information and Decision Making (1408) Machine Learning (1466) Clinical Informatics (1025)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26823, first published .
Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis

Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis

Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis

Authors of this article:

Carolina Barata1, 2 Author Orcid Image ;   Ana Maria Rodrigues3, 4 Author Orcid Image ;   Helena Canhão3, 4 Author Orcid Image ;   Susana Vinga1, 5, 6 Author Orcid Image ;   Alexandra M Carvalho1, 2, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Tang Y, Zhang Q, Dai F, Liao X, Dong Z, Yi T, Qing Y. Circular RNAs in peripheral blood mononuclear cells from ankylosing spondylitis. Chinese Medical Journal 2021;134(21):2573 View
  2. Azevedo D, Rodrigues A, Canhão H, Carvalho A, Souto A. Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis. Sensors 2023;23(3):1219 View
  3. Dalén J, Svedbom A, Hernlund E, Olofsson T, Black C. Identifying Predictors of First-Line Subcutaneous TNF-Inhibitor Persistence in Patients with Inflammatory Arthritis: A Decision Tree Analysis by Indication. Advances in Therapy 2023;40(10):4657 View
  4. Kohn S, Azam A, Hamilton L, Harrison S, Graef E, Young K, Marzo-Ortega H, Liew J. Impact of sex and gender on axSpA diagnosis and outcomes. Best Practice & Research Clinical Rheumatology 2023;37(3):101875 View
  5. Larid G, Baudens G, Tiemdjo-Djimaffo G, Coquerelle P, Goeb V, Guyot M, Marguerie L, Maury F, Veillard E, Houvenagel E, Salmon J, Flipo R, Gervais E. Retention rate of subcutaneous TNF inhibitors in axial spondyloarthritis in a multicentre study from the RIC-FRANCE network. Scientific Reports 2024;14(1) View
  6. Chen Y, Liu H, Yu Q, Qu X, Sun T. Entry point of machine learning in axial spondyloarthritis. RMD Open 2024;10(1):e003832 View