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Main Authors: Marras, Connie, Arbatti, Lakshmi, Hosamath, Abhishek, Amara, Amy, anderson, karen, Chahine, Lana, Eberly, Shirley, Kinel, Dan, Mantri, Sneha, Mathur, Soania, Oakes, David, Purks, Jennifer, Standaert, David, Tanner, Caroline, Weintraub, Daniel, Shoulson, Ira
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Published: Zenodo 2023
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Online Access:https://doi.org/10.3233/JPD-225083
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author Marras, Connie
Arbatti, Lakshmi
Hosamath, Abhishek
Amara, Amy
anderson, karen
Chahine, Lana
Eberly, Shirley
Kinel, Dan
Mantri, Sneha
Mathur, Soania
Oakes, David
Purks, Jennifer
Standaert, David
Tanner, Caroline
Weintraub, Daniel
Shoulson, Ira
author_facet Marras, Connie
Arbatti, Lakshmi
Hosamath, Abhishek
Amara, Amy
anderson, karen
Chahine, Lana
Eberly, Shirley
Kinel, Dan
Mantri, Sneha
Mathur, Soania
Oakes, David
Purks, Jennifer
Standaert, David
Tanner, Caroline
Weintraub, Daniel
Shoulson, Ira
contents <p>Free-text, verbatim replies in the words of people with Parkinson’s disease (PD) have the potential to provide unvarnished information about their feelings and experiences. Challenges of processing such data on a large scale are a barrier to analyzing verbatim data collection in large cohorts.</p>
format Recurso digital
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institution Zenodo
language
publishDate 2023
publisher Zenodo
record_format zenodo
spellingShingle What Patients Say: Large-Scale Analyses of Replies to the Parkinson's Disease Patient Report of Problems (PD-PROP)
Marras, Connie
Arbatti, Lakshmi
Hosamath, Abhishek
Amara, Amy
anderson, karen
Chahine, Lana
Eberly, Shirley
Kinel, Dan
Mantri, Sneha
Mathur, Soania
Oakes, David
Purks, Jennifer
Standaert, David
Tanner, Caroline
Weintraub, Daniel
Shoulson, Ira
Patient-reported outcome
Measurement
Parkinson's disease
Machine learning
<p>Free-text, verbatim replies in the words of people with Parkinson’s disease (PD) have the potential to provide unvarnished information about their feelings and experiences. Challenges of processing such data on a large scale are a barrier to analyzing verbatim data collection in large cohorts.</p>
title What Patients Say: Large-Scale Analyses of Replies to the Parkinson's Disease Patient Report of Problems (PD-PROP)
topic Patient-reported outcome
Measurement
Parkinson's disease
Machine learning
url https://doi.org/10.3233/JPD-225083