Machine learning-based classification of Alzheimer's disease and its at-risk states using personality traits, anxiety, and depression

DSpace Repository

Machine learning-based classification of Alzheimer's disease and its at-risk states using personality traits, anxiety, and depression

Author: 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, Michael T.; Hetzer, Stefan; Ramirez, Alfredo; Scheffler, Klaus; Buerger, Katharina; Laske, Christoph; Perneczky, Robert; Peters, Oliver; Priller, Josef; Schneider, Anja; Spottke, Annika; Teipel, Stefan; Duezel, Emrah; Jessen, Frank; Wiltfang, Jens; Schott, Bjoern H.; Kizilirmak, Jasmin M.
Tübinger Autor(en):
Munk, Matthias Hans Joachim
Scheffler, Klaus
Laske, Christoph
Published in: International Journal of Geriatric Psychiatry (2023), Bd. 38, H. 10
Verlagsangabe: Hoboken : Wiley
Language: English
Full text: http://dx.doi.org/10.1002/gps.6007
ISSN: 0885-6230
DDC Classifikation: 610 - Medicine and health
300 - Social sciences, sociology and anthropology
150 - Psychology
Dokumentart: Article
Show full item record

This item appears in the following Collection(s)