Natural Language Analysis to Detect Parkinson's Disease
Perez-Toro PA, Vasquez Correa J, Strauß M, Orozco Arroyave JR, Nöth E (2019)
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Book Volume: 11697
Pages Range: 82-90
DOI: 10.1007/978-3-030-27947-9_7
Abstract
Parkinson's disease (PD) is a neuro-degenerative disorder that produces motor and non-motor impairments. Non-motor impairments include communication and mood disorders. Most of the studies in the literature have been focused on the analysis of motor symptoms. However, non-motor signs are also present in most of the cases. This paper addresses the study of language production as a potential tool to diagnose and monitor the neurological state of PD patients. The study proposes the use of natural language processing methods to extract features from transcriptions obtained from spontaneous speech recordings to discriminate between healthy control people and PD patients. The analysis considered classical features such as Bag of Words and Term Frequency-Inverse Document Frequency, along with methods based on word-embeddings. Accuracies of up to 72% are obtained when discriminating between PD patients and healthy subjects, which confirms that there is information embedded in the language production that can be used for the assessment of the disease.
Authors with CRIS profile
Paula Andrea Perez Toro
Juan Vasquez Correa Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Martin Strauß Professur für Informatik (Mustererkennung) Juan Rafael Orozco Arroyave Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Elmar Nöth Professur für Informatik (Mustererkennung)
Juan Vasquez Correa Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Martin Strauß Professur für Informatik (Mustererkennung) Juan Rafael Orozco Arroyave Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Elmar Nöth Professur für Informatik (Mustererkennung)
Involved external institutions
Colombia (CO)How to cite
APA:
Perez-Toro, P.A., Vasquez Correa, J., Strauß, M., Orozco Arroyave, J.R., & Nöth, E. (2019). Natural Language Analysis to Detect Parkinson's Disease. (pp. 82-90). SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND.
MLA:
Perez-Toro, Paula Andrea, et al. "Natural Language Analysis to Detect Parkinson's Disease." SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2019. 82-90.
BibTeX: Download