http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CA-2721854-A1

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filingDate 2009-05-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_55f33d5fbec168714474f21914f7b64b
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publicationDate 2009-12-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CA-2721854-A1
titleOfInvention Method and automated system for assisting in the prognosis of alzheimer's disease, and method for training such a system
abstract The invention relates to a method and an automated system assistance to the prognosis of evolution, and assistance to diagnosis, Alzheimer's disease for patients with mild memory disorders, or MCI (for Mild Cognitive Impairment). It also concerns a method of learning such a system relating to the identification of discriminating regions in the brain and on the use of these regions to refine the assistance process from new cases known. The invention uses imaging data (PET or TEMP) representing brain activity in a plurality of areas spatial (voxels). The method then comprises a image data normalization processing, and an analysis of the values of brain activity recorded in a selection of voxels forming at least one predetermined discriminant region, defined by its coordinates within a spatial repository. The invention may also include a combination of imaging results with the results of one or more cognitive tests.
priorityDate 2008-05-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 24.