Application of the predictad software tool to predict progression in patients with mild cognitive impairment

Dementia and Geriatric Cognitive Disorders

Volumn 34, Issue 5-6, 2013, Pages 344-350

  Simonsen, Anja H ^a   Mattila, Jussi ^b   Hejl, Anne Mette ^a   Frederiksen, Kristian S ^a   Herukka, Sanna Kaisa ^c,d   Hallikainen, Merja ^c   Van Gils, Mark ^b   Lötjönen, Jyrki ^b   Soininen, Hilkka ^c,d   Waldemar, Gunhild ^a  

^a Memory Disorders Research Group   (Denmark)

^b VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

^c UNIVERSITY OF EASTERN FINLAND   (Finland)

^d KUOPIO UNIVERSITY HOSPITAL   (Finland)

Author keywords

Alzheimer's disease; Mild cognitive impairment; PredictAD software tool

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; DISEASE COURSE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; PRIORITY JOURNAL;

AGE FACTORS; AGED; ALZHEIMER DISEASE; DISEASE PROGRESSION; EDUCATIONAL STATUS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NEUROPSYCHOLOGICAL TESTS; OBSERVER VARIATION; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SOCIOECONOMIC FACTORS; SOFTWARE;

EID: 84870330501     PISSN: 14208008     EISSN: 14219824     Source Type: Journal    
DOI: 10.1159/000345554     Document Type: Article

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