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

Author:

Taneja Ishan1,Damhorst Gregory L.12ORCID,Lopez‐Espina Carlos1,Zhao Sihai Dave3,Zhu Ruoqing3,Khan Shah1,White Karen4,Kumar James4,Vincent Andrew5,Yeh Leon5,Majdizadeh Shirin4,Weir William4,Isbell Scott6,Skinner James4,Devanand Manubolo4,Azharuddin Syed4,Meenakshisundaram Rajamurugan4,Upadhyay Riddhi4,Syed Anwaruddin5,Bauman Thomas5,Devito Joseph5,Heinzmann Charles5,Podolej Gregory5,Shen Lanxin1,Timilsina Sanjay Sharma1,Quinlan Lucas1,Manafirasi Setareh1,Valera Enrique7ORCID,Reddy Bobby17,Bashir Rashid7

Affiliation:

1. Prenosis Inc. Chicago Illinois USA

2. Department of Medicine Emory University Atlanta Georgia USA

3. Department of Statistics University of Illinois at Urbana‐Champaign Champaign Illinois USA

4. Biomedical Research Center Carle Foundation Hospital Urbana Illinois USA

5. OSF Saint Francis Medical Center Peoria Illinois USA

6. Department of Pathology Saint Louis University School of Medicine St. Louis Missouri USA

7. Department of Bioengineering University of Illinois at Urbana‐Champaign Champaign Illinois USA

Publisher

Wiley

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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