Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease.

LJJ Jessiman; Gabriel  Murray; MacKenzie Braley

Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease.

LJJ Jessiman
, Gabriel Murray
, MacKenzie Braley

Research output: Contribution to conference › Poster › peer-review

Abstract

We 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.

Original language	English
Pages	63-74
Number of pages	11
Publication status	Print publication - 2018
Externally published	Yes
Event	Proceedings of the First International Workshop on Language Cognition and Computational Models - New Mexico, Sante Fe, United States Duration: 1 Aug 2018 → …

Workshop

Workshop	Proceedings of the First International Workshop on Language Cognition and Computational Models
Country/Territory	United States
City	Sante Fe
Period	1/08/18 → …

Cite this

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title = "Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson{\textquoteright}s Disease.",

abstract = "We explore the use of natural language processing and machine learning for detecting evidence of Parkinson{\textquoteright}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.",

author = "LJJ Jessiman and Gabriel Murray and MacKenzie Braley",

year = "2018",

language = "English",

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note = "Proceedings of the First International Workshop on Language Cognition and Computational Models ; Conference date: 01-08-2018",

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Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease. / Jessiman, LJJ; Murray, Gabriel ; Braley, MacKenzie.
2018. 63-74 Poster session presented at Proceedings of the First International Workshop on Language Cognition and Computational Models, Sante Fe, United States.

Research output: Contribution to conference › Poster › peer-review

TY - CONF

T1 - Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease.

AU - Jessiman, LJJ

AU - Murray, Gabriel

AU - Braley, MacKenzie

PY - 2018

Y1 - 2018

N2 - We 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.

AB - We 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.

M3 - Poster

SP - 63

EP - 74

T2 - Proceedings of the First International Workshop on Language Cognition and Computational Models

Y2 - 1 August 2018

ER -

Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease.

Abstract

Workshop

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Cite this