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Gradient Boosting Decision Tree Algorithm for the Prediction of Postoperative Intraocular Lens Position in Cataract Surgery
Author(s) -
Tingyang Li,
Kyeongcheol Yang,
Joshua D. Stein,
Nambi Nallasamy
Publication year - 2020
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.508
H-Index - 21
ISSN - 2164-2591
DOI - 10.1167/tvst.9.13.38
Subject(s) - medicine , cataract surgery , keratometer , gradient boosting , decision tree , algorithm , intraocular lens power calculation , mean absolute error , phacoemulsification , intraocular lens , ophthalmology , mean squared prediction error , boosting (machine learning) , surgery , machine learning , cornea , visual acuity , mathematics , computer science , statistics , random forest , mean squared error

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