Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings
Crossref DOI link: https://doi.org/10.1038/s41598-020-66405-y
Published Online: 2020-06-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Schlegel, Patrick
Kniesburges, Stefan
Dürr, Stephan
Schützenberger, Anne
Döllinger, Michael
Text and Data Mining valid from 2020-06-29
Version of Record valid from 2020-06-29
Article History
Received: 28 January 2020
Accepted: 20 May 2020
First Online: 29 June 2020
Competing interests
: The authors declare no competing interests.