Idea density for predicting Alzheimer’s disease from transcribed speech

Kairit Sirts; Olivier Piguet; Mark Johnson

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2017 CONLL CoNLL 2017

Idea density for predicting Alzheimer’s disease from transcribed speech

🌉 Interdisciplinary Bridge - Healthcare & Medicine and Interdisciplinary and Speech & Audio

📈 Trend Setter - Clinical Speech Analysis

🧭 Keyword Pioneer - diagnostic classification

🐝 Cross-Pollinator - Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio

Authors

Kairit Sirts , Olivier Piguet , Mark Johnson

Topics

Speech & Audio > Analysis > Clinical Speech Analysis Healthcare & Medicine > Clinical > Clinical NLP Interdisciplinary > Cognitive Science > Cognitive Modeling

Keywords

speech processing dependency parsing alzheimer's disease diagnostic classification propositional idea density

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