Bedside clinical data provide an hourly and accurate biomarker for severe sepsis classification
Type of content
Conference Contributions - Other
UC permalink
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
University of Canterbury. Mathematics and Statistics
University of Canterbury. Mechanical Engineering
University of Canterbury. Mechanical Engineering
Journal Title
Journal ISSN
Volume Title
Language
Date
2011
Authors
Parente, J.D.
Lin, J.
Shaw, Geoff
Chase, Geoff
Abstract
Description
Citation
Parente, J.D., Lin, J., Shaw, G.M., Lee, D.S., Chase, J.G. (2011) Bedside clinical data provide an hourly and accurate biomarker for severe sepsis classification. Taupo, New Zealand: Australia-New Zealand Intensive Care Society (ANZICS) ASM, 31 Mar-1 Apr 2011.
Keywords
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320211 - Infectious diseases
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care