Accessibility settings

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

Development and Evaluation of Research Methods, Instruments and Tools (844) Clinical Information and Decision Making (2128) Machine Learning (2289) Immunology, Allergy, Rheumatology (159) Digital Biomarkers and Digital Phenotyping (338) Artificial Intelligence (2434)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70200, first published .
Prediction of 1-Year Activity in Systemic Lupus Erythematosus: Hierarchical Machine Learning Approach

Prediction of 1-Year Activity in Systemic Lupus Erythematosus: Hierarchical Machine Learning Approach

Prediction of 1-Year Activity in Systemic Lupus Erythematosus: Hierarchical Machine Learning Approach

Authors of this article:

Livia Lilli1, 2 Author Orcid Image ;   Laura Antenucci1, 2 Author Orcid Image ;   Augusta Ortolan3 Author Orcid Image ;   Silvia Laura Bosello3 Author Orcid Image ;   Stefano Patarnello1 Author Orcid Image ;   Carlotta Masciocchi1 Author Orcid Image ;   Marco Gorini4 Author Orcid Image ;   Gabriella Castellino4 Author Orcid Image ;   Alfredo Cesario1, 5 Author Orcid Image ;   Maria Antonietta D'Agostino3 Author Orcid Image ;   Jacopo Lenkowicz1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Liu T, Qi X, Guo M, Ye X, Fan L, Yang D. Performance evaluation of five large language models for assisting in the interpretation of urinalysis reports for kidney diseases: a real-world study. Clinical Chemistry and Laboratory Medicine (CCLM) 2026 View