Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes

Lampe, Leonie; Niehaus, Sebastian; Huppertz, Hans-Juergen; Merola, Alberto; Reinelt, Janis; Mueller, Karsten; Anderl-Straub, Sarah; Fassbender, Klaus; Fliessbach, Klaus; Jahn, Holger; Kornhuber, Johannes; Lauer, Martin; Prudlo, Johannes; Schneider, Anja; Synofzik, Matthis; Danek, Adrian; Diehl-Schmid, Janine; Otto, Markus; Villringer, Arno; Egger, Karl; Hattingen, Elke; Hilker-Roggendorf, Rudiger; Schnitzler, Alfons; Sudmeyer, Martin; Oertel, Wolfgang; Kassubek, Jan; Hoeglinger, Gunter; Schroeter, Matthias L.

Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes

Autor(en):

Lampe, Leonie; Niehaus, Sebastian; Huppertz, Hans-Juergen; Merola, Alberto; Reinelt, Janis; Mueller, Karsten; Anderl-Straub, Sarah; Fassbender, Klaus; Fliessbach, Klaus; Jahn, Holger; Kornhuber, Johannes; Lauer, Martin; Prudlo, Johannes; Schneider, Anja; Synofzik, Matthis; Danek, Adrian; Diehl-Schmid, Janine; Otto, Markus; Villringer, Arno; Egger, Karl; Hattingen, Elke; Hilker-Roggendorf, Rudiger; Schnitzler, Alfons; Sudmeyer, Martin; Oertel, Wolfgang; Kassubek, Jan; Hoeglinger, Gunter; Schroeter, Matthias L.

Tübinger Autor(en):

Synofzik, Matthis

Erschienen in:

Alzheimers Research & Therapy (2022), Bd. 14, H. 1

Verlagsangabe:

Bmc

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.1186/s13195-022-00983-z

ISSN:

1758-9193