AI Medical Compendium Journal:
Arthritis & rheumatology (Hoboken, N.J.)

Showing 11 to 12 of 12 articles

A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

Arthritis & rheumatology (Hoboken, N.J.) Sep 2, 2019
OBJECTIVE: High-throughput gene expression profiling of tissue samples from patients with systemic sclerosis (SSc) has identified 4 "intrinsic" gene expression subsets: inflammatory, fibroproliferative, normal-like, and limited. Prior methods require...
Humans Machine Learning Algorithms Female Aged Young Adult Adult Male Middle Aged Gene Expression Profiling Transcriptome Gene Expression Supervised Machine Learning High-Throughput Nucleotide Sequencing Datasets as Topic Scleroderma, Systemic
View on PubMed DOI

Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data.

Arthritis & rheumatology (Hoboken, N.J.) Apr 2, 2018
OBJECTIVE: In this study, we sought to refine histologic scoring of rheumatoid arthritis (RA) synovial tissue by training with gene expression data and machine learning.
Humans Machine Learning Female Aged Male Middle Aged Gene Expression Profiling Arthritis, Rheumatoid Sequence Analysis, RNA Synovial Membrane Osteoarthritis
View on PubMed DOI
Popular Topics
Popular Journals