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Identifying and analyzing sepsis states: A retrospective study on patients with sepsis in ICUs.
Fang, Chih-Hao; Ravindra, Vikram; Akhter, Salma; Adibuzzaman, Mohammad; Griffin, Paul; Subramaniam, Shankar; Grama, Ananth.
  • Fang CH; Department of Computer Science, Purdue University, West Lafayette, IN, United States of America.
  • Ravindra V; Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States of America.
  • Akhter S; Regenstrief Center for Healthcare Engineering, Purdue University, West Lafayette, IN, United States of America.
  • Adibuzzaman M; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States of America.
  • Griffin P; Department of Industrial Engineering, Penn State University, University Park, PA, United States of America.
  • Subramaniam S; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States of America.
  • Grama A; Department of Computer Science, Purdue University, West Lafayette, IN, United States of America.
PLOS Digit Health ; 1(11): e0000130, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36812596
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article