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Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients

Overview of attention for article published in PLOS ONE, October 2012
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Title
Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046229
Pubmed ID
Authors

Sandra Larson, Germán Comina, Robert H. Gilman, Brian H. Tracey, Marjory Bravard, José W. López

Abstract

A laboratory-free test for assessing recovery from pulmonary tuberculosis (TB) would be extremely beneficial in regions of the world where laboratory facilities are lacking. Our hypothesis is that analysis of cough sound recordings may provide such a test. In the current paper, we present validation of a cough analysis tool.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Ph. D. Student 16 21%
Student > Master 10 13%
Other 7 9%
Professor 4 5%
Other 8 10%
Unknown 16 21%
Readers by discipline Count As %
Medicine and Dentistry 20 26%
Computer Science 9 12%
Engineering 9 12%
Agricultural and Biological Sciences 6 8%
Psychology 3 4%
Other 10 13%
Unknown 21 27%