Learning Linguistic Biomarkers for Predicting Mild Cognitive Impairment using Compound Skip-grams

Predicting Mild Cognitive Impairment (MCI) is currently a challenge as existing diagnostic criteria rely on neuropsychological examinations. Automated Machine Learning (ML) models that are trained on verbal utterances of MCI patients can aid diagnosis. Using a combination of skip-gram features, our...

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Bibliographic Details

Main Authors:	Orimaye, Sylvester Olubolu, Tai, Kah Yee, Wong, Jojo Sze-Meng, Wong, Chee Piau
Format:	Journal Article
Language:	English
Published:	07-11-2015
Subjects:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
Online Access:	Get full text
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