Work

Predictive models for severe sepsis in adult ICU patients

Year: 2015

Type: conference-paper

Study design: Observational Study

Source: Systems and Information Engineering Design Symposium

DOI: 10.1109/sieds.2015.7116970

Authors: Joseph Guillén, Jiankun Liu, Margaret Furr, Tianyao Wang, Stephen Strong, Christopher C. Moore, Abigail Flower, Laura E. Barnes

Institution: University of Virginia

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Critical Care and Intensive Care Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Northrop Grumman

OpenAlex ID: W1488990065

FWCI: 15.28

Cites: 31

Cited by: 23

Related to: 10