Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei Volumes

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Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei Volumes

Author: Huth, Fabian; Tozzi, Leonardo; Marxen, Michael; Riedel, Philipp; Broeckel, Kyra; Martini, Julia; Berndt, Christina; Sauer, Cathrin; Vogelbacher, Christoph; Jansen, Andreas; Kircher, Tilo; Falkenberg, Irina; Thomas-Odenthal, Florian; Lambert, Martin; Kraft, Vivien; Leicht, Gregor; Mulert, Christoph; Fallgatter, Andreas J.; Ethofer, Thomas; Rau, Anne; Leopold, Karolina; Bechdolf, Andreas; Reif, Andreas; Matura, Silke; Biere, Silvia; Bermpohl, Felix; Fiebig, Jana; Stamm, Thomas; Correll, Christoph U.; Juckel, Georg; Flasbeck, Vera; Ritter, Philipp; Bauer, Michael; Pfennig, Andrea; Mikolas, Pavol
Tübinger Autor(en):
Fallgatter, Andreas J.
Ethofer, Thomas
Rau, Anne Katrin
Published in: Brain Sciences (2023), Bd. 13 (6), Article 870
Verlagsangabe: Basel : Mdpi
Language: English
Full text: http://dx.doi.org/10.3390/brainsci13060870
ISSN: 2076-3425
DDC Classifikation: 570 - Life sciences; biology
610 - Medicine and health
Dokumentart: Article
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