The results of using the machine learning method in determining the predictors of hypotensive efficacy of lens extraction in patients with primary angle closure

Author:

Kurysheva N. I.1ORCID,Pomerantsev A. L.2ORCID,Rodionova O. Y.3ORCID,Sharova G. A.4ORCID

Affiliation:

1. The Department of Eye Diseases at the Medical Biological University of Innovations and Continuing Education of the Federal Biophysical Center named after A.I. Burnazyan; Diagnostic Department of the Ophthalmological Center of Federal Medical‐Biological Agency of Russia

2. Federal Research Center for Chemical Physics RAS

3. Federal Research Center for Chemical Physics RAS, 4, Kosygin Street, Moscow, Russian Federation, 119991

4. Medical Biological University of Innovations and Continuing Education of the State Research Center — Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency; Ophthalmology Clinic of Dr. Belikova

Publisher

Research Institute of Eye Diseases

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Personalized treatment of primary angle closure;National Journal glaucoma;2024-06-25

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