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ARVO Annual Meeting Abstract July 2019

Identifying Patients at Risk for Experiencing Rapid Progression of Open Angle Glaucoma Using Supervised Machine Learning

Isaac Jones; Mark P Van Oyen; Mariel Lavieri; Chris Andrews; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2472. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Using a Machine Learning Technique Called Kalman Filtering to Forecast Conversion from Ocular Hypertension to Primary Open Angle Glaucoma

Gian-Gabriel P Garcia; Mariel Lavieri; Chris Andrews; Xiang Liu; Mark P Van Oyen; Michael Kass; Mae O Gordon; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2857. doi: https://doi.org/

ARVO Annual Meeting Abstract June 2017

Using Kalman Filtering to Personalize the Monitoring of Persons with Normal Tension Glaucoma

Mariel S Lavieri; Xiang Liu; Zhining Zhou; Jingyuan Wang; Kazuhisa Sugiyama; Koji Nitta; Chris Andrews; Mark Van Oyen; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2870. doi: https://doi.org/

ARVO Annual Meeting Abstract April 2014

User Friendly Tool Using Kalman Filter Algorithms to Display Glaucoma Progression Indicators and Personalized Time to Next Test

Mariel S. Lavieri; Sam Devaprasad; Manqi Li; Greggory Schell; Pamela Martinez Villarreal; Jonathan E Helm; Mark Van Oyen; David C Musch; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5611. doi: https://doi.org/

ARVO Annual Meeting Abstract June 2013

Personalizing the Frequency and Timing of Testing to Check for Glaucoma Progression: a Novel Approach

Mariel Lavieri; Jonathan Helm; Greggory Schell; Mark Van Oyen; David Musch; Joshua Stein

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):3956. doi: https://doi.org/

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