The promise of machine learning to inform the management of juvenile idiopathic arthritis Editorial
| Authors: | Eng, S. W. M.; Yeung, R. S. M.; Morris, Q. |
| Title: | The promise of machine learning to inform the management of juvenile idiopathic arthritis |
| Keywords: | clinical feature; disease course; disease classification; cluster analysis; gene expression; clinical assessment; editorial; information processing; cytokine; neutrophil; arthritis; antinuclear antibody; autoimmune diseases; immunocompetent cell; rare disease; natural killer t cell; managed care; disease activity; principal component analysis; dimensionality reduction; machine learning; natural language processing; human; polyarthritis; hierarchical clustering; juvenile rheumatoid arthritis; juvenile idiopathic arthritis; transfer of learning; non-negative matrix factorization; systems medicine; autoencoder; k means clustering; social stratification |
| Journal Title: | Expert Review of Clinical Immunology |
| Volume: | 17 |
| Issue: | 1 |
| ISSN: | 1744-666X |
| Publisher: | Taylor & Francis Group |
| Date Published: | 2021-01-01 |
| Start Page: | 1 |
| End Page: | 3 |
| Language: | English |
| DOI: | 10.1080/1744666x.2020.1850268 |
| PUBMED: | 33475006 |
| PROVIDER: | scopus |
| PMCID: | PMC7944407 |
| DOI/URL: | |
| Notes: | Editorial -- Export Date: 1 April 2021 -- Source: Scopus |
