You are here

  • Home
  • Archive
  • Volume 107, Issue 8
  • Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery

Article info

Article menu
Clinical science
Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery

Authors

  • Tingyang Li Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  • Joshua Stein Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  • Nambi Nallasamy Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Nambi Nallasamy, Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA; nnallasa{at}med.umich.edu
View Full Text

Citation

Li T, Stein J, Nallasamy N
Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery
British Journal of Ophthalmology 2023;107:1066-1071.

Publication history

  • Received October 10, 2021
  • Accepted March 3, 2022
  • First published April 4, 2022.
Online issue publication 
July 20, 2023

Article Versions

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.