Prediction of Bacteremia Using TREAT, a Computerized Decision-Support System
Open Access
- 1 May 2006
- journal article
- Published by Oxford University Press (OUP) in Clinical Infectious Diseases
- Vol. 42 (9), 1274-1282
- https://doi.org/10.1086/503034
Abstract
Background. Prediction of bloodstream infection at the time of sepsis onset allows one to make appropriate and economical management decisions.MethodKeywords
This publication has 21 references indexed in Scilit:
- Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care unitsThe Lancet Infectious Diseases, 2005
- Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient OutcomesJAMA, 2005
- New developments in the diagnosis of bloodstream infectionsThe Lancet Infectious Diseases, 2004
- Controlled Clinical Comparison of the BacT/ALERT FN and the Standard Anaerobic SN Blood Culture MediumJournal of Clinical Microbiology, 2004
- Bacteriemia adquirida en la comunidad: elaboración de un modelo de predicción clínica en pacientes ingresados en un servicio de medicina internaMedicina Clinica, 2004
- Predicting Bacteremia at the BedsideClinical Infectious Diseases, 2004
- Building probabilistic networks: "Where do the numbers come from?" guest editors' introductionIEEE Transactions on Knowledge and Data Engineering, 2000
- Validation of a Bacteremia Prediction ModelInfection Control & Hospital Epidemiology, 1995
- Definitions for Sepsis and Organ Failure and Guidelines for the Use of Innovative Therapies in SepsisChest, 1992
- Future imperfect: The limitations of clinical prediction models and the limits of clinical predictionJournal of the American College of Cardiology, 1989