Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis

• Главные авторы: Ishan Taneja (Автор), Gregory L. Damhorst (Автор), Carlos Lopez‐Espina (Автор), Sihai Dave Zhao (Автор), Ruoqing Zhu (Автор), Shah Khan (Автор), Karen White (Автор), James Kumar (Автор), Andrew Vincent (Автор), Leon Yeh (Автор), Shirin Majdizadeh (Автор), William Weir (Автор), Scott Isbell (Автор), James Skinner (Автор), Manubolo Devanand (Автор), Syed Azharuddin (Автор), Rajamurugan Meenakshisundaram (Автор), Riddhi Upadhyay (Автор), Anwaruddin Syed (Автор), Thomas Bauman (Автор), Joseph Devito (Автор), Charles Heinzmann (Автор), Gregory Podolej (Автор), Lanxin Shen (Автор), Sanjay Sharma Timilsina (Автор), Lucas Quinlan (Автор), Setareh Manafirasi (Автор), Enrique Valera (Автор), Bobby Reddy Jr (Автор), Rashid Bashir (Автор)
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• Опубликовано: Wiley, 2021-07-01T00:00:00Z.
• Предметы: article
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Abstract Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad‐spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two‐center cohort study with prospective sample coll...