Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis

Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. Despite targeted efforts to automate earlier detection of sepsis, current techniques rely exclusively on using either standard clinical data or novel biomarker measurements. In this study, we apply mac...

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Detalles Bibliográficos
Autores principales: Taneja, Ishan, Reddy, Bobby, Damhorst, Gregory, Dave Zhao, Sihai, Hassan, Umer, Price, Zachary, Jensen, Tor, Ghonge, Tanmay, Patel, Manish, Wachspress, Samuel, Winter, Jackson, Rappleye, Michael, Smith, Gillian, Healey, Ryan, Ajmal, Muhammad, Khan, Muhammad, Patel, Jay, Rawal, Harsh, Sarwar, Raiya, Soni, Sumeet, Anwaruddin, Syed, Davis, Benjamin, Kumar, James, White, Karen, Bashir, Rashid, Zhu, Ruoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589821/
https://www.ncbi.nlm.nih.gov/pubmed/28883645
http://dx.doi.org/10.1038/s41598-017-09766-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589821/
https://www.ncbi.nlm.nih.gov/pubmed/28883645
http://dx.doi.org/10.1038/s41598-017-09766-1

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