2018
COLING
COLING 2018
Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease
Abstract
AbstractWe explore the use of natural language processing and machine learning for detecting evidence of Parkinson’s disease from transcribed speech of subjects who are describing everyday tasks. Experiments reveal the difficulty of treating this as a binary classification task, and a multi-class approach yields superior results. We also show that these models can be used to predict cognitive abilities across all subjects.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Hot Topic Early Bird
— multi-class classification
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio