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

• Main Authors: Ishan Taneja (Author), Gregory L. Damhorst (Author), Carlos Lopez‐Espina (Author), Sihai Dave Zhao (Author), Ruoqing Zhu (Author), Shah Khan (Author), Karen White (Author), James Kumar (Author), Andrew Vincent (Author), Leon Yeh (Author), Shirin Majdizadeh (Author), William Weir (Author), Scott Isbell (Author), James Skinner (Author), Manubolo Devanand (Author), Syed Azharuddin (Author), Rajamurugan Meenakshisundaram (Author), Riddhi Upadhyay (Author), Anwaruddin Syed (Author), Thomas Bauman (Author), Joseph Devito (Author), Charles Heinzmann (Author), Gregory Podolej (Author), Lanxin Shen (Author), Sanjay Sharma Timilsina (Author), Lucas Quinlan (Author), Setareh Manafirasi (Author), Enrique Valera (Author), Bobby Reddy Jr (Author), Rashid Bashir (Author)
• Format: Book
• Published: Wiley, 2021-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...