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Detecting neurodegenerative disorders from web search signals

Neurodegenerative disorders, such as Parkinson’s disease (PD) and Alzheimer’s disease (AD), are important public health problems warranting early detection. We trained machine-learned classifiers on the longitudinal search logs of 31,321,773 search engine users to automatically detect neurodegenerat...

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Autores principales: White, Ryen W., Doraiswamy, P. Murali, Horvitz, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550228/
https://www.ncbi.nlm.nih.gov/pubmed/31304293
http://dx.doi.org/10.1038/s41746-018-0016-6
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author White, Ryen W.
Doraiswamy, P. Murali
Horvitz, Eric
author_facet White, Ryen W.
Doraiswamy, P. Murali
Horvitz, Eric
author_sort White, Ryen W.
collection PubMed
description Neurodegenerative disorders, such as Parkinson’s disease (PD) and Alzheimer’s disease (AD), are important public health problems warranting early detection. We trained machine-learned classifiers on the longitudinal search logs of 31,321,773 search engine users to automatically detect neurodegenerative disorders. Several digital phenotypes with high discriminatory weights for detecting these disorders are identified. Classifier sensitivities for PD detection are 94.2/83.1/42.0/34.6% at false positive rates (FPRs) of 20/10/1/0.1%, respectively. Preliminary analysis shows similar performance for AD detection. Subject to further refinement of accuracy and reproducibility, these findings show the promise of web search digital phenotypes as adjunctive screening tools for neurodegenerative disorders.
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spelling pubmed-65502282019-07-12 Detecting neurodegenerative disorders from web search signals White, Ryen W. Doraiswamy, P. Murali Horvitz, Eric NPJ Digit Med Brief Communication Neurodegenerative disorders, such as Parkinson’s disease (PD) and Alzheimer’s disease (AD), are important public health problems warranting early detection. We trained machine-learned classifiers on the longitudinal search logs of 31,321,773 search engine users to automatically detect neurodegenerative disorders. Several digital phenotypes with high discriminatory weights for detecting these disorders are identified. Classifier sensitivities for PD detection are 94.2/83.1/42.0/34.6% at false positive rates (FPRs) of 20/10/1/0.1%, respectively. Preliminary analysis shows similar performance for AD detection. Subject to further refinement of accuracy and reproducibility, these findings show the promise of web search digital phenotypes as adjunctive screening tools for neurodegenerative disorders. Nature Publishing Group UK 2018-04-23 /pmc/articles/PMC6550228/ /pubmed/31304293 http://dx.doi.org/10.1038/s41746-018-0016-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Communication
White, Ryen W.
Doraiswamy, P. Murali
Horvitz, Eric
Detecting neurodegenerative disorders from web search signals
title Detecting neurodegenerative disorders from web search signals
title_full Detecting neurodegenerative disorders from web search signals
title_fullStr Detecting neurodegenerative disorders from web search signals
title_full_unstemmed Detecting neurodegenerative disorders from web search signals
title_short Detecting neurodegenerative disorders from web search signals
title_sort detecting neurodegenerative disorders from web search signals
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550228/
https://www.ncbi.nlm.nih.gov/pubmed/31304293
http://dx.doi.org/10.1038/s41746-018-0016-6
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