المؤلفون: N. I. Kurysheva, A. L. Pomerantsev, O. Ye. Rodionova, G. A. Sharova

المصدر: Oftalʹmologiâ, Vol 19, Iss 3, Pp 549-556 (2022)

مصطلحات موضوعية: principal component analysis (pca), data driven soft independent modelling of class analogies (dd-simca), machine learning, primary angle closure, ss-oct, optical coherence tomography of the anterior segment (as-oct), Ophthalmology, RE1-994

وصف الملف: electronic resource

Relation: https://www.ophthalmojournal.com/opht/article/view/1919; https://doaj.org/toc/1816-5095; https://doaj.org/toc/2500-0845

URL الوصول: https://doaj.org/article/e049c3c68c604256b01531b0df0daede

المؤلفون: N. I. Kurysheva, O. Ye. Rodionova, A. L. Pomerantsev, G. A. Sharova, Н. И. Курышева, О. Е. Родионова, А. Л. Померанцев, Г. А. Шарова

المصدر: National Journal glaucoma; Том 22, № 4 (2023); 3-14 ; Национальный журнал Глаукома; Том 22, № 4 (2023); 3-14 ; 2311-6862 ; 2078-4104

مصطلحات موضوعية: методы машинного обучения, primary angle closure suspects, swept source optical coherence tomography, anterior segment optical coherence tomography, laser peripheral iridotomy, lens extraction, data-driven soft independent modelling of class analogies, machine learning, подозрение на первичное закрытие угла, оптическая когерентная томография с частотно-модулированным источником, оптическая когерентная томография переднего отрезка, периферическая лазерная иридотомия, ленсэктомия, DD-SIMCA

وصف الملف: application/pdf

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الاتاحة: https://www.glaucomajournal.ru/jour/article/view/442
https://doi.org/10.53432/2078-4104-2023-22-4-3-14