Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA

OBJECTIVES: The objective of this study was to compare the performance of two popularly used early sepsis diagnostic criteria, systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment (qSOFA), using statistical and machine learning approaches. METHODS: This re...

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Detalles Bibliográficos
Autores principales: Gupta, Akash, Liu, Tieming, Shepherd, Scott, Paiva, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944188/
https://www.ncbi.nlm.nih.gov/pubmed/29770247
http://dx.doi.org/10.4258/hir.2018.24.2.139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944188/
https://www.ncbi.nlm.nih.gov/pubmed/29770247
http://dx.doi.org/10.4258/hir.2018.24.2.139

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