Thies, Tabea ORCID: 0000-0001-9149-3143, Mallick, Elisa, Tröger, Johannes, Baykara, Ebru, Mücke, Doris ORCID: 0000-0002-6217-3121 and Barbe, Michael T. ORCID: 0000-0003-1149-8054 (2025). Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease. npj Parkinson's Disease, 11. p. 105. Springer Nature. ISSN 2373-8057

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Identification Number:10.1038/s41531-025-00959-4

Item Type: Article
Creators:
Creators
Email
ORCID
ORCID Put Code
Thies, Tabea
UNSPECIFIED
https://orcid.org/0000-0001-9149-3143
UNSPECIFIED
Mallick, Elisa
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Tröger, Johannes
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Baykara, Ebru
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Mücke, Doris
doris.muecke@uni-koeln.de
https://orcid.org/0000-0002-6217-3121
UNSPECIFIED
Barbe, Michael T.
UNSPECIFIED
https://orcid.org/0000-0003-1149-8054
UNSPECIFIED
URN: urn:nbn:de:hbz:38-788405
Identification Number: 10.1038/s41531-025-00959-4
Journal or Publication Title: npj Parkinson's Disease
Volume: 11
Page Range: p. 105
Date: 2025
Publisher: Springer Nature
ISSN: 2373-8057
Language: English
Faculty: Collaborative Research Centers
Faculty of Arts and Humanities
Faculty of Medicine
Divisions: Faculty of Medicine > Neurologie > Klinik und Poliklinik für Neurologie
Faculty of Arts and Humanities > Fächergruppe 1: Kunstgeschichte, Musikwissenschaft, Medienkultur und Theater, Linguistik, IDH > Institut für Linguistik > Phonetik
Collaborative Research Centers > CRC 1252: Prominence in Language
Subjects: Social sciences
Language, Linguistics
Medical sciences Medicine
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/78840

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