Current state and completeness of reporting clinical prediction models using machine learning in systemic lupus erythematosus: A systematic review-Reference-Cited by-同舟云学术

Current state and completeness of reporting clinical prediction models using machine learning in systemic lupus erythematosus: A systematic review

Published:2023-05 Issue:5 Volume:22 Page:103294
ISSN:1568-9972
Container-title:Autoimmunity Reviews
language:en
Short-container-title:Autoimmunity Reviews

Author:

Munguía-Realpozo Pamela,Etchegaray-Morales Ivet,Mendoza-Pinto Claudia,Méndez-Martínez Socorro,Osorio-Peña Ángel David,Ayón-Aguilar Jorge,García-Carrasco Mario

Publisher

Elsevier BV

Subject

Immunology,Immunology and Allergy

Reference70 articles.

1. Heterogeneity of autoimmune diseases: pathophysiologic insights from genetics and implications for new therapies;Cho;Nat Med,2015

2. An introduction to machine learning and analysis of its use in rheumatic diseases;Kingsmore;Nat Rev Rheumatol,2021

3. Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges;Peng;Front Pharmacol,2021

4. Machine learning to predict anti-tumor necrosis factor drug responses of rheumatoid arthritis patients by integrating clinical and genetic markers;Guan;Arthritis Rheumatol,2019

5. Precision health: a pragmatic approach to understanding and addressing key factors in autoimmune diseases;Conrad;Autoimmun Rev,2020

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