Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Journal: Investigative ophthalmology & visual science
PMID:

Abstract

PURPOSE: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).

Authors

  • Nicholas Riina
    Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
  • Alon Harris
    Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Brent A Siesky
    Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
  • Lukas Ritzer
    Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
  • Louis R Pasquale
    Eye and Vision Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • James C Tsai
    Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • James Keller
    Wilmington Pathology Associates, Wilmington, North Carolina.
  • Barbara Wirostko
    University of Utah Health John A Moran Eye Center, Salt Lake City, Utah, United States.
  • Julia Arciero
    Department of Mathematical Sciences, IUPUI School of Science, Indianapolis, Indiana, United States.
  • Brendan Fry
    Department of Mathematics and Statistics, Metropolitan State University of Denver, Denver, Colorado, United States.
  • George Eckert
    Department of Biostatistics and Health Data Science, Indianapolis, Indiana University School of Medicine, IN, US.
  • Alice Verticchio Vercellin
    Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
  • Gal Antman
    Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
  • Paul A Sidoti
    Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
  • Giovanna Guidoboni
    Department of Electrical Engineering and Computer Science, Department of Mathematics, University of Missouri, Columbia, MO, United States.