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Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Waschkies, Konrad F. ; Soch, Joram ; Darna, Margarita ; Richter, Anni ; Altenstein, Slawek ; Beyle, Aline ; Brosseron, Frederic ; Buchholz, Friederike ; Butryn, Michaela ; Dobisch, Laura ; Ewers, Michael ; Fliessbach, Klaus ; Gabelin, Tatjana ; Glanz, Wenzel ; Goerss, Doreen ; Gref, Daria ; Janowitz, Daniel ; Kilimann, Ingo ; Lohse, Andrea ; Munk, Matthias H. ; Rauchmann, Boris-Stephan ; Rostamzadeh, Ayda ; Roy, Nina ; Spruth, Eike Jakob ; Dechent, Peter ; Heneka, Michae...     »
Titel:
Machine learning-based classification of Alzheimer's disease and its at-risk states using personality traits, anxiety, and depression
Stichworte:
RESEARCH ARTICLE ; Alzheimer's disease ; amnestic mild cognitive impairment ; biomarker ; cerebrospinal fluid ; fMRI ; machine learning ; personality ; resting-state ; subjective cognitive decline ; support vector machine
Zeitschriftentitel:
International Journal of Geriatric Psychiatry
Jahr:
2023
Band / Volume:
38
Heft / Issue:
10
Volltext / DOI:
doi:10.1002/gps.6007
E-ISSN:
0885-6230 ; 1099-1166
Publikationsdatum:
06.10.2023
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