title: Neural network classification of infrared spectra of control and Alzheimer's diseased tissue.
abstract: Artificial neural network classification methods were applied to infrared spectra of histopathologically confirmed Alzheimer's diseased and control brain tissue. Principal component analysis was used as a preprocessing technique for some of these artificial neural networks while others were trained using the original spectra. The leave-one-out method was used for cross-validation and linear discriminant analysis was used as a performance benchmark. In the cases where principal components were used, the artificial neural networks consistently outperformed their linear discriminant counterparts; 100% versus 98% correct classifications, respectively, for the two class problem, and 90% versus 81% for a more complex five class problem. Using the original spectra, only one of the three selected artificial neural network architectures (a variation of the back-propagation algorithm using fuzzy encoding) produced results comparable to the best corresponding principal component cases: 98% and 85% correct classifications for the two and five class problems, respectively.
authors.affiliation: Institute for Biodiagnostics, National Research Council Canada, Winnipeg, Man.
authors.forename: N
authors.initials: N
authors.lastname: Pizzi
authors.forename: L P
authors.initials: LP
authors.lastname: Choo
authors.forename: J
authors.initials: J
authors.lastname: Mansfield
authors.forename: M
authors.initials: M
authors.lastname: Jackson
authors.forename: W C
authors.initials: WC
authors.lastname: Halliday
authors.forename: H H
authors.initials: HH
authors.lastname: Mantsch
authors.forename: R L
authors.initials: RL
authors.lastname: Somorjai
mesh_terms: D000544:Alzheimer Disease / Q000145:classification* / Q000473:pathology*; D001921:Brain / Q000166:cytology / Q000473:pathology*; D003936:Diagnosis, Computer-Assisted; D017143:Fuzzy Logic; D006801:Humans; D016571:Neural Networks, Computer; D012016:Reference Values; D013055:Spectrophotometry, Infrared