$Use of a Machine Learning Method in Predicting Refraction after Cataract Surgery$

Use of a Machine Learning Method in Predicting Refraction after Cataract Surgery

The present study aims to describe the use of machine learning (ML) in predicting the occurrence of postoperative refraction after cataract surgery and compares the accuracy of this method to conventional intraocular lens (IOL) power calculation formulas. In total, 3331 eyes from 2010 patients were...

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Bibliographic Details
Main Authors:	Tomofusa Yamauchi, Hitoshi Tabuchi, Kosuke Takase, Hiroki Masumoto
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Journal of Clinical Medicine
Subjects:	IOL power calculation machine learning gradient booting regression (GBR) neural network support vector regression (SVR) random forest regression (RFR)
Online Access:	https://www.mdpi.com/2077-0383/10/5/1103

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