Clinical Prediction Performance of Glaucoma Progression Using Two-Dimensional Continuous Time Hidden Markov Model with Structural and Functional Measurements

PURPOSE: Previously we introduced a state based two-dimensional continuous time hidden Markov model (2D CT-HMM) to model the pattern of glaucoma detected changes using structural and functional information simultaneously. The purpose of this study was to evaluate the glaucoma detected change predict...

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Опубликовано в: :Ophthalmology
Главные авторы: Song, Youngseok, Ishikawa, Hiroshi, Wu, Mengfei, Liu, Yu-Ying, Lucy, Katie A., Lavinsky, Fabio, Liu, Mengling, Wollstein, Gadi, Schuman, Joel S.
Формат: Artigo
Язык:Inglês
Опубликовано: 2018
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6109428/
https://ncbi.nlm.nih.gov/pubmed/29571832
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ophtha.2018.02.010
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