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A machine learning approach to triaging patients with chronic obstructive pulmonary disease.
Swaminathan, Sumanth; Qirko, Klajdi; Smith, Ted; Corcoran, Ethan; Wysham, Nicholas G; Bazaz, Gaurav; Kappel, George; Gerber, Anthony N.
Affiliation
  • Swaminathan S; Revon Systems Inc, Louisville, KY, United States of America, 40014.
  • Qirko K; Department of Mathematics, University of Delaware, Newark, DE, United States of America, 19716.
  • Smith T; Revon Systems Inc, Louisville, KY, United States of America, 40014.
  • Corcoran E; Department of Mathematics, University of Delaware, Newark, DE, United States of America, 19716.
  • Wysham NG; Revon Systems Inc, Louisville, KY, United States of America, 40014.
  • Bazaz G; Department of Pulmonology, Kaiser Permanente, Clackamas, OR, United States of America, 97015.
  • Kappel G; Vancouver Clinic Division of Pulmonology & Critical Care, Vancouver, WA, United States of America, 98664.
  • Gerber AN; Washington State University School of Medicine, Spokane, WA, United States of America, 99210.
PLoS One ; 12(11): e0188532, 2017.
Article in En | MEDLINE | ID: mdl-29166411
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triage / Pulmonary Disease, Chronic Obstructive / Machine Learning Type of study: Guideline / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triage / Pulmonary Disease, Chronic Obstructive / Machine Learning Type of study: Guideline / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Type: Article