A machine learning approach to triaging patients with chronic obstructive pulmonary disease

Sumanth Swaminathan; Klajdi Qirko; Ted Smith; Ethan Corcoran; Nicholas G. Wysham; Gaurav Bazaz; George Kappel; Anthony N. Gerber

doi:10.1371/journal.pone.0188532

Loading metrics

Open Access

Peer-reviewed

Research Article

A machine learning approach to triaging patients with chronic obstructive pulmonary disease

Sumanth Swaminathan ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: sumanth@revonsystems.net

Affiliations Revon Systems Inc, Louisville, KY, United States of America, 40014, Department of Mathematics, University of Delaware, Newark, DE, United States of America, 19716

http://orcid.org/0000-0002-2931-691X

⨯
Klajdi Qirko,

Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – review & editing

Affiliations Revon Systems Inc, Louisville, KY, United States of America, 40014, Department of Mathematics, University of Delaware, Newark, DE, United States of America, 19716
⨯
Ted Smith,

Roles Investigation, Resources, Supervision

Affiliation Revon Systems Inc, Louisville, KY, United States of America, 40014
⨯
Ethan Corcoran,

Roles Investigation, Methodology, Validation

Affiliation Department of Pulmonology, Kaiser Permanente, Clackamas, OR, United States of America, 97015
⨯
Nicholas G. Wysham,

Roles Investigation, Methodology, Validation

Affiliations Vancouver Clinic Division of Pulmonology & Critical Care, Vancouver, WA, United States of America, 98664, Washington State University School of Medicine, Spokane, WA, United States of America, 99210
⨯
Gaurav Bazaz,

Roles Software

Affiliation Revon Systems Inc, Louisville, KY, United States of America, 40014
⨯
George Kappel,

Roles Software

Affiliation Revon Systems Inc, Louisville, KY, United States of America, 40014
⨯
Anthony N. Gerber

Roles Conceptualization, Investigation, Methodology, Supervision, Validation, Writing – review & editing

Affiliation Department of Medicine, National Jewish Health, Denver, CO, United States of America, 80206
⨯

A machine learning approach to triaging patients with chronic obstructive pulmonary disease

Sumanth Swaminathan,
Klajdi Qirko,
Ted Smith,
Ethan Corcoran,
Nicholas G. Wysham,
Gaurav Bazaz,
George Kappel,
Anthony N. Gerber

Published: November 22, 2017
https://doi.org/10.1371/journal.pone.0188532

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Physicians
Is the Subject Area "Physicians" applicable to this article?

Thanks for your feedback.
Triage
Is the Subject Area "Triage" applicable to this article?

Thanks for your feedback.
Algorithms
Is the Subject Area "Algorithms" applicable to this article?

Thanks for your feedback.
Chronic obstructive pulmonary disease
Is the Subject Area "Chronic obstructive pulmonary disease" applicable to this article?

Thanks for your feedback.
Pulmonology
Is the Subject Area "Pulmonology" applicable to this article?

Thanks for your feedback.
Critical care and emergency medicine
Is the Subject Area "Critical care and emergency medicine" applicable to this article?

Thanks for your feedback.
Forecasting
Is the Subject Area "Forecasting" applicable to this article?

Thanks for your feedback.
Coughing
Is the Subject Area "Coughing" applicable to this article?

Thanks for your feedback.