Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus

BACKGROUND: Rheumatoid arthritis (RA) and systemic lupus erythematous (SLE) are autoimmune rheumatic diseases that share a complex genetic background and common clinical features. This study’s purpose was to construct machine learning (ML) models for the genomic prediction of RA and SLE. METHODS: A...

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Detalles Bibliográficos
Autores principales: Chung, Chih-Wei, Hsiao, Tzu-Hung, Huang, Chih-Jen, Chen, Yen-Ju, Chen, Hsin-Hua, Lin, Ching-Heng, Chou, Seng-Cho, Chen, Tzer-Shyong, Chung, Yu-Fang, Yang, Hwai-I, Chen, Yi-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666017/
https://www.ncbi.nlm.nih.gov/pubmed/34895289
http://dx.doi.org/10.1186/s13040-021-00284-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666017/
https://www.ncbi.nlm.nih.gov/pubmed/34895289
http://dx.doi.org/10.1186/s13040-021-00284-5

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