Improved classification of Alzheimer's disease data via removal of nuisance variability

Diagnosis of Alzheimer's disease is based on the results of neuropsychological tests and available supporting biomarkers such as the results of imaging studies. The results of the tests and the values of biomarkers are dependent on the nuisance features, such as age and gender. In order to impr...

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Veröffentlicht in:	PloS one 2012-02, Vol.7 (2), p.e31112-e31112
Hauptverfasser:	Koikkalainen, Juha, Pölönen, Harri, Mattila, Jussi, van Gils, Mark, Soininen, Hilkka, Lötjönen, Jyrki
Format:	Artikel
Sprache:	eng
Schlagworte:	Activities of daily living Age Aging Alzheimer Disease - classification Alzheimer Disease - diagnosis Alzheimer's disease Apolipoproteins Artificial intelligence Bioinformatics Biology Biomarkers Brain research Classification Clinical outcomes Clinical trials Cognition Disorders Cognitive ability Computer Science Data processing Dementia Diagnosis Diagnostic imaging Diagnostic systems Disease control Engineering Expert Systems Gender Genomes Humans Identification methods Impairment Linear Models Medical imaging Medicine Neurobiology Neurodegenerative diseases Neuroimaging Neurology Neuropsychological Tests Neurosciences Nuisance Precision medicine Regression analysis Regression models Sampling techniques Studies Teaching methods Tomography Variability
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