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A natural language processing solution to probable Alzheimer’s disease detection in conversation transcripts
Kristianstad University, Faculty of Natural Science.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study proposes an accuracy comparison of two of the best performing machine learning algorithms in natural language processing, the Bayesian Network and the Long Short-Term Memory (LSTM) Recurrent Neural Network, in detecting Alzheimer’s disease symptoms in conversation transcripts. Because of the current global rise of life expectancy, the number of seniors affected by Alzheimer’s disease worldwide is increasing each year. Early detection is important to ensure that affected seniors take measures to relieve symptoms when possible or prepare plans before further cognitive decline occurs. Literature shows that natural language processing can be a valid tool for early diagnosis of the disease. This study found that mild dementia and possible Alzheimer’s can be detected in conversation transcripts with promising results, and that the LSTM is particularly accurate in said detection, reaching an accuracy of 86.5% on the chosen dataset. The Bayesian Network classified with an accuracy of 72.1%. The study confirms the effectiveness of a natural language processing approach to detecting Alzheimer’s disease.

Place, publisher, year, edition, pages
2019. , p. 54
Keywords [en]
Bayesian network, long short-term memory recurrent neural network, machine learning, natural language processing, Alzheimer's disease, early detection
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-19889OAI: oai:DiVA.org:hkr-19889DiVA, id: diva2:1347038
External cooperation
Sigma Connectivity
Educational program
Bachelor programme in Computer Software Development
Supervisors
Examiners
Available from: 2019-08-30 Created: 2019-08-29 Last updated: 2019-08-30Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf