Development of machine learning models for diagnosis of glaucoma

iRSpot-EL: identify recombination spots with an ensemble learning approach

(2016) Bin Liu et al.   BIOINFORMATICS

iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework

(2016) Bin Liu et al.   BIOINFORMATICS

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

(2015) Bin Liu et al.   NUCLEIC ACIDS RESEARCH

The Pathophysiology and Treatment of Glaucoma

(2014) Robert N. Weinreb et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Sensitivity and specificity of machine learning classifiers for glaucoma diagnosis using Spectral Domain OCT and standard automated perimetry

(2013) Fabrício R. Silva et al.   ARQUIVOS BRASILEIROS DE OFTALMOLOGIA

Machine learning classifiers for glaucoma diagnosis based on classification of retinal nerve fibre layer thickness parameters measured by Stratus OCT

(2010) Dimitrios Bizios et al.   ACTA OPHTHALMOLOGICA

Myopia Affects Retinal Nerve Fiber Layer Measurements as Determined by Optical Coherence Tomography

(2009) Frederick M. Rauscher et al.   JOURNAL OF GLAUCOMA