Using artificial intelligence to predict the risk for posterior capsule opacification after phacoemulsification

Journal of Cataract and Refractive Surgery

Volumn 38, Issue 3, 2012, Pages 403-408

  Mohammadi, Seyed Farzad ^a   Sabbaghi, Mostafa ^d   Z Mehrjardi, Hadi ^a,b   Hashemi, Hassan ^a,e   Alizadeh, Somayeh ^d   Majdi, Mercede ^a   Taee, Farough ^c  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b Students' Scientific Research Center   (Iran)

^c TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^d K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^e NOOR EYE HOSPITAL   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CAPSULOTOMY; CATARACT; CLINICAL EXAMINATION; CROSS-SECTIONAL STUDY; FEMALE; HUMAN; IRAN; MAJOR CLINICAL STUDY; MALE; MEDICAL LITERATURE; PHACOEMULSIFICATION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY ANALYSIS;

AGED; ALGORITHMS; AREA UNDER CURVE; CAPSULE OPACIFICATION; CROSS-SECTIONAL STUDIES; DECISION TREES; FEMALE; HUMANS; LASER THERAPY; LIKELIHOOD FUNCTIONS; MALE; NEURAL NETWORKS (COMPUTER); PHACOEMULSIFICATION; POSTERIOR CAPSULE OF THE LENS; POSTOPERATIVE COMPLICATIONS; REPRODUCIBILITY OF RESULTS; RISK FACTORS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84857538840     PISSN: 08863350     EISSN: 18734502     Source Type: Journal    
DOI: 10.1016/j.jcrs.2011.09.036     Document Type: Article

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