Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.

Journal: Ophthalmology
Published Date:

Abstract

PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm allowing selection of the most predictive risk factors automatically.

Authors

  • Soufiane Ajana
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France.
  • Audrey Cougnard-Grégoire
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France.
  • Johanna M Colijn
    Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Bénédicte M J Merle
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France.
  • Timo Verzijden
    Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Paulus T V M de Jong
    Department of Retinal Signal Processing, Netherlands Institute of Neurosciences, KNAW, and Department of Ophthalmology, Amsterdam University MC, Amsterdam, The Netherlands; Department of Ophthalmology, Leiden University MC, Leiden, The Netherlands.
  • Albert Hofman
    Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Johannes R Vingerling
    Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Boris P Hejblum
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France; Inria, SISTM, Bordeaux Sud-Ouest, Bordeaux, France.
  • Jean-François Korobelnik
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France; Department of Ophthalmology, Bordeaux University Hospital, Bordeaux, France.
  • Magda A Meester-Smoor
    Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Marius Ueffing
    Department of Ophthalmology, Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
  • Hélène Jacqmin-Gadda
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France.
  • Caroline C W Klaver
    Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands; Institute for Molecular and Clinical Ophthalmology, Basel, Switzerland.
  • Cécile Delcourt
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France. Electronic address: cecile.delcourt@u-bordeaux.fr.