Open AccessUse of predictive models to identify patients who are likely to benefit from refraction at a follow-up visit after cataract surgery
Author(s) -
Sachin Gupta,
Matthew J. Schneider,
S Ashok Vardhan,
Thulasiraj Ravilla
Publication year - 2021
Publication title -
indian journal of ophthalmology/indian journal of ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.542
H-Index - 51
eISSN - 1998-3689
pISSN - 0301-4738
DOI - 10.4103/ijo.ijo_661_21
Subject(s) - logistic regression , medicine , visual acuity , decision tree , random forest , receiver operating characteristic , cataract surgery , chart , surgery , machine learning , statistics , computer science , mathematics
To develop predictive models to identify cataract surgery patients who are more likely to benefit from refraction at a four-week postoperative exam.