Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status

Neuroinformatics

Volumn 2, Issue 4, 2004, Pages 399-415

  Buscema, Massimo ^a   Grossi, Enzo ^b   Snowdon, David ^c   Antuono, Piero ^d   Intraligi, Marco ^a   Maurelli, Guido ^a   Savarè, Rita ^b  

^a Semeion centro ricerche di scienze della communicazione   (Italy)

^b Medical Affairs Europe   (Italy)

^c UNIVERSITY OF KENTUCKY   (United States)

^d MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Alzheimer's disease (AD); Artificial neural networks (ANNs); Cognitive ability; Neuritic plaques (NPs); Neurofibrillary tangles (NFTs)

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOPSY; BRAIN ATROPHY; COGNITION; COGNITIVE DEFECT; DEMOGRAPHY; HUMAN; NEUROFIBRILLARY TANGLE; NEUROPATHOLOGY; NEUROPSYCHOLOGICAL TEST; PRIORITY JOURNAL; TECHNIQUE; COMPARATIVE STUDY; COMPUTER SIMULATION; FACTUAL DATABASE; HIPPOCAMPUS; NEOCORTEX; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; PREDICTION AND FORECASTING; REPRODUCIBILITY; SENILE PLAQUE;

ALZHEIMER DISEASE; COGNITION; COMPUTER SIMULATION; DATABASES, FACTUAL; HIPPOCAMPUS; HUMANS; NEOCORTEX; NEURAL NETWORKS (COMPUTER); NEUROFIBRILLARY TANGLES; NEUROPSYCHOLOGICAL TESTS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SENILE PLAQUES;

EID: 20344396880     PISSN: 15392791     EISSN: None     Source Type: Journal    
DOI: 10.1385/NI:2:4:399     Document Type: Article

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