Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia

Vaden Masrani, Gabriel Murray, Thalia Field, Giuseppe Carenini


Abstract
We investigate if writers with dementia can be automatically distinguished from those without by analyzing linguistic markers in written text, in the form of blog posts. We have built a corpus of several thousand blog posts, some by people with dementia and others by people with loved ones with dementia. We use this dataset to train and test several machine learning methods, and achieve prediction performance at a level far above the baseline.
Anthology ID:
W17-2329
Volume:
BioNLP 2017
Month:
August
Year:
2017
Address:
Vancouver, Canada,
Venues:
BioNLP | WS
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
232–237
Language:
URL:
https://www.aclweb.org/anthology/W17-2329
DOI:
10.18653/v1/W17-2329
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-2329.pdf