Skip to main content

Detecting neurodegenerative disorders from web search signals.

Publication ,  Journal Article
White, RW; Doraiswamy, PM; Horvitz, E
Published in: NPJ Digit Med
2018

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

NPJ Digit Med

DOI

EISSN

2398-6352

Publication Date

2018

Volume

1

Start / End Page

8

Location

England

Related Subject Headings

  • 4203 Health services and systems
 

Citation

APA
Chicago
ICMJE
MLA
NLM
White, R. W., Doraiswamy, P. M., & Horvitz, E. (2018). Detecting neurodegenerative disorders from web search signals. NPJ Digit Med, 1, 8. https://doi.org/10.1038/s41746-018-0016-6
White, Ryen W., P Murali Doraiswamy, and Eric Horvitz. “Detecting neurodegenerative disorders from web search signals.NPJ Digit Med 1 (2018): 8. https://doi.org/10.1038/s41746-018-0016-6.
White RW, Doraiswamy PM, Horvitz E. Detecting neurodegenerative disorders from web search signals. NPJ Digit Med. 2018;1:8.
White, Ryen W., et al. “Detecting neurodegenerative disorders from web search signals.NPJ Digit Med, vol. 1, 2018, p. 8. Pubmed, doi:10.1038/s41746-018-0016-6.
White RW, Doraiswamy PM, Horvitz E. Detecting neurodegenerative disorders from web search signals. NPJ Digit Med. 2018;1:8.

Published In

NPJ Digit Med

DOI

EISSN

2398-6352

Publication Date

2018

Volume

1

Start / End Page

8

Location

England

Related Subject Headings

  • 4203 Health services and systems