Article

“Machine Learning–Based Prediction of Postoperative Refraction in Cataract Surgery: A Stacking Ensemble Approach”

2026-01-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> To develop and evaluate a stacking ensemble machine learning model for predicting postoperative spherical equivalent (SEQ) refraction after cataract surgery and to compare its performance with established intraocular lens power calculation formulas. <h4>Design</h4> Retrospective dataset study using a publicly available, de-identified dataset. <h4>Subjects</h4> A total of 1,71...

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Literature Corpus work: 6e5292ed-73e1-5c99-9318-be2f731278b1
DOI: 10.64898/2026.01.24.26344648

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