This paper is in the following e-collection/theme issue:

Neurotechnology in Clinical Studies (17) Research Instruments, Questionnaires, and Tools (677) Clinical Informatics (1186) Dementia and Cognitive Decline (610) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (94)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46021, first published .
A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study

A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study

A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study

Authors of this article:

Tom Hähnel1 Author Orcid Image ;   Tim Feige2 Author Orcid Image ;   Julia Kunze1 Author Orcid Image ;   Andrea Epler1 Author Orcid Image ;   Anika Frank1, 2 Author Orcid Image ;   Jonas Bendig1 Author Orcid Image ;   Nils Schnalke1, 2 Author Orcid Image ;   Martin Wolz3 Author Orcid Image ;   Peter Themann4 Author Orcid Image ;   Björn Falkenburger1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Yoshihara M, Itaguchi Y. A Japanese LDA model for automatic clustering analysis of semantic verbal fluency tests. Behavior Research Methods 2025;57(8) View