1997
DOI: 10.1016/s0925-4927(97)81536-3
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Application of artificial neural networks to CNV data to investigate schizophrenia

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“…Tacitly using this fact NN based classification of disordered EEG with respect to the control has been achieved. This was done for headache and migraine [153][154][155], neuroophthalmological disorder [156], head injury [140], multiple sclerosis [39,157], schizophrenia [158][159][160][161][162][163], Alzheimer disease [164][165][166][167], Parkinson's disease [167], Huntington's disease [162,[168][169][170][171], depression [161] and alcoholics [172,173]. Probabilistic NN has also been used for EEG classification in [174] with moderate success and slightly poorer performance than SVM, but with much better performance in [175].…”
Section: Other Patternsmentioning
confidence: 99%
“…Tacitly using this fact NN based classification of disordered EEG with respect to the control has been achieved. This was done for headache and migraine [153][154][155], neuroophthalmological disorder [156], head injury [140], multiple sclerosis [39,157], schizophrenia [158][159][160][161][162][163], Alzheimer disease [164][165][166][167], Parkinson's disease [167], Huntington's disease [162,[168][169][170][171], depression [161] and alcoholics [172,173]. Probabilistic NN has also been used for EEG classification in [174] with moderate success and slightly poorer performance than SVM, but with much better performance in [175].…”
Section: Other Patternsmentioning
confidence: 99%