Identification of Markers Predicting Clinical Course in Patients with IgG4-Related Ophthalmic Disease by Unbiased Clustering Analysis.

Kinya Tsubota Yoshihiko UsuiRey NemotoHiroshi Goto

Published in: Journal of clinical medicine (2020)

Unsupervised hierarchical clustering analysis using routine blood test data differentiates four distinct clinical phenotypes of IgG4-ROD, which suggest differences in pathophysiologic mechanisms. High serum IgG4 is a potential predictor of worsened BCVA, and high serum IgE is a potential predictor of extraocular muscle enlargement in IgG4-ROD patients.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
single cell
machine learning
rna seq
prognostic factors
human health
big data
electronic health record
deep learning