Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study

BMC Neurology

Volumn 7, Issue , 2007, Pages

  Grossi, Enzo ^a   Buscema, Massimo P ^b   Snowdon, David ^c   Antuono, Piero ^d  

^a Bracco SpA   (Italy)

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

^c UNIVERSITY OF KENTUCKY   (United States)

^d MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; COGNITION; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HIPPOCAMPUS; HUMAN; NEOCORTEX; NEUROFIBRILLARY TANGLE; NEUROPATHOLOGY; NONLINEAR SYSTEM; NORMAL VALUE; PREDICTION; SENILE PLAQUE; BRAIN; COHORT ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; PATHOLOGY; STANDARD;

ALZHEIMER DISEASE; BRAIN; COHORT STUDIES; DIAGNOSIS, COMPUTER-ASSISTED; HIPPOCAMPUS; HUMANS; NEOCORTEX; NEURAL NETWORKS (COMPUTER); NEUROFIBRILLARY TANGLES; SENILE PLAQUES;

EID: 34447304358     PISSN: None     EISSN: 14712377     Source Type: Journal    
DOI: 10.1186/1471-2377-7-15     Document Type: Article

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