Work

Prediction of post-surgical adverse outcomes using procedural data

Year: 2015

Type: conference-paper

Study design: Observational Study

Source: Systems and Information Engineering Design Symposium

DOI: 10.1109/sieds.2015.7116974

Authors: Clayton Betts, James Hardardt, Dawson Friedland, Steven Wergeles, Joel Hernandez, Zachary Terner, Douglas Colquhoun, Donald E. Brown

Institution: University of Virginia

Language: English

Topic: Cardiac, Anesthesia and Surgical Outcomes

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Leidos

OpenAlex ID: W1506356056

FWCI:

Cites: 19

Cited by:

Related to: 10