Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in older participants

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Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in older participants

Author: Schalkamp, Ann-Kathrin; Lerche, Stefanie; Wurster, Isabel; Roeben, Benjamin; Zimmermann, Milan; Fries, Franca; von Thaler, Anna-Katharina; Eschweiler, Gerhard; Maetzler, Walter; Berg, Daniela; Sinz, Fabian H.; Brockmann, Kathrin
Tübinger Autor(en):
Lerche, Stefanie
Wurster, Isabel
Sinz, Fabian H.
Brockmann, Kathrin
Röben, Benjamin
Zimmermann, Milan Raoul
Fries, Franca Laura
Eschweiler, Gerhard W.
Published in: Frontiers in Aging Neuroscience (2024), Bd. 16, Article 1447944
Verlagsangabe: Lausanne : Frontiers Media Sa
Language: English
Full text: http://dx.doi.org/10.3389/fnagi.2024.1447944
ISSN: 1663-4365
DDC Classifikation: 570 - Life sciences; biology
610 - Medicine and health
Dokumentart: Article
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