Neural network computer program to determine photorefractive keratectomy nomograms

Journal of Cataract and Refractive Surgery

Volumn 24, Issue 7, 1998, Pages 917-924

  Yang, S H ^a   Van Gelder, R N ^a   Pepose, J S ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; CLINICAL PROTOCOL; COMPUTER PROGRAM; DEMOGRAPHY; EXCIMER LASER; FEMALE; HUMAN; INFORMATION PROCESSING; INTRAOCULAR PRESSURE; KERATECTOMY; KERATOMETRY; MALE; NOMOGRAM; PRIORITY JOURNAL; TREATMENT OUTCOME;

EID: 0031812770     PISSN: 08863350     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0886-3350(98)80043-6     Document Type: Article

References (16)

1. HK Wu PE Demers Photorefractive keratectomy for myopia Ophthalmic Surg Lasers 27 1996 29 44
2. T Grosvenor How predictable are the results of excimer laser photorefractive keratectomy? A review Optom Vis Sci 72 1995 698 712
3. PS Hersh OD Schein R Steinert Characteristics influencing outcomes of excimer laser photorefractive keratectomy Ophthalmology 103 1996 1962 1969
4. SJ Weinstock Excimer laser keratectomy: one-year results with 100 myopic patients CLAD J 19 1993 178 181
5. DS Gartry MG Kerr Muir J Marshall Excimer laser photorefractive keratectomy; 18-month follow-up Oph thalmology 99 1992 1209 1219
6. S Haykin Neural Networks: A Comprehensive Foundation 1994 Macmillan New York, NY
7. MW Kattan JR Beck Artificial neural networks for medical classification decisions Arch Pathol Lab Med 119 1995 672 677
8. DE Rumelhart GE Hinton R Williams Learning representations by back-propagating error Nature 323 1986 533 536
9. JJ Forsstrom KJ Dalton Artificial neural networks for decision support in clinical medicine Ann Med 27 1995 509 517
10. WG Baxt Application of artificial neural networks to clinical medicine Lancet 346 1995 1135 1138
11. EM Madsen RL Yolton Demonstration of a neural network expert system for recognition of glaucomatous visual field changes Mil Med 159 1994 553 557
12. MH Goldbaum PA Sample H White Interpretation of automated perimetry for glaucoma by neural network Invest Ophthalmol Vis Sci 35 1994 3362 3373
13. N Maeda SD Myce MK Smolek Neural network classification of corneal topography: preliminary demonstration Invest Ophthalmol Vis Sci 36 1995 1327 1335 errata pp 1947-1948
14. GP Clarke J Burmeister Comparison of intraocular lens computations using a neural network versus the Holladay formula J Cataract Refract Surg 23 1997 1585 1589
15. MC Corbett DPS O'Brart FG Warburton J Marshall Biologic and environmental risk factors for regression after photorefractive keratectomy Ophthalmology 103 1996 1381 1391
16. ED Baum D Haussler What size net give valid generalization? Neural Comp 1 1989 151 160