Application of discriminant, classification tree and neural network analysis to differentiate between potential glaucoma suspects with and without visual field defects.
Hitzl, W. ; Reitsamer, H.A. ; Hornykewycz, K. ; Mistlberger, A. ; Grabner, G.
Journal of Theoretical Medicine, Tome 5 (2003), p. 161-170 / Harvested from The Electronic Library of Mathematics
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Publié le : 2003-01-01
DOI : https://doi.org/10.1080/10273360410001728011
EUDML-ID : urn:eudml:doc:233817 
@article{02247143,
     title = {Application of discriminant, classification tree and neural network analysis to differentiate between potential glaucoma suspects with and without visual field defects.},
     journal = {Journal of Theoretical Medicine},
     volume = {5},
     year = {2003},
     pages = {161-170},
     doi = {10.1080/10273360410001728011},
     zbl = {1109.92017},
     language = {en},
     url = {http://dml.mathdoc.fr/item/02247143}
}

Hitzl, W.; Reitsamer, H.A.; Hornykewycz, K.; Mistlberger, A.; Grabner, G. Application of discriminant, classification tree and neural network analysis to differentiate between potential glaucoma suspects with and without visual field defects.. Journal of Theoretical Medicine, Tome 5 (2003) pp. 161-170. doi : 10.1080/10273360410001728011. http://gdmltest.u-ga.fr/item/02247143/