A systematic literature review of automatic Alzheimer's disease detection from speech and language.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 32929494

Abstract

OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer's Disease (AD) detection using automatic language processing. We systematically review these articles to understand the effectiveness of this approach, identify any issues and report the main findings that can guide further research.

Authors

  • Ulla Petti
    Department of Theoretical and Applied Linguistics, University of Cambridge, Language Technology Lab, Cambridge, UK.
  • Simon Baker
    Language Technology Laboratory, TAL, University of Cambridge, Cambridge, United Kingdom.
  • Anna Korhonen
    Computer Laboratory, University of Cambridge, JJ Thompson Avenue, Cambridge, UK. alk23@cam.ac.uk.

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