Comparison of Ocular Biomechanical Machine Learning Classifiers for Glaucoma Diagnosis

Shu Hao Lu, Ka Yue Lee, Jones Iok Tong Chong, Andrew K.C. Lam, Jimmy S.M. Lai, David C.C. Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Application of machine learning methodology on patient functional and structural data has been shown to improve glaucoma classification accuracy. Intraocular pressure (IOP) and the biomechanical behaviors of the eye are early indicators of glaucoma. Four classifiers: linear logistic regression, support vector machine, random forest classifier and gradient boosting classifier are tested for discrimination using a 52-patient biomechanical data set that includes 20 glaucoma (40 eyes) and 32 healthy subjects (64 eyes). Results show that the 98.3% accuracy from linear logistic regression (LLR) is the highest correlation accuracy amongst the tested methods. The LLR classification accuracy is comparable with classification accuracies attained for classification using functional and structural measurements from image data sets. Since IOP elevation and biomechanical changes often precede imageable symptoms, the new biomechanics diagnostic classifier maybe used as a detection method for early stage glaucoma.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2539-2543
Number of pages5
ISBN (Electronic)9781538654880
DOIs
Publication statusPublished - 24 Jan 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: 3 Dec 20186 Dec 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Country/TerritorySpain
CityMadrid
Period3/12/186/12/18

Keywords

  • glaucoma diagnosis
  • machine learning
  • ocular biomechanics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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