Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data
- 14 April 2021
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 118, 103789
- https://doi.org/10.1016/j.jbi.2021.103789
Abstract
No abstract availableFunding Information
- NCATS
This publication has 28 references indexed in Scilit:
- Phenotypic clusters within sepsis-associated multiple organ dysfunction syndromeIntensive Care Medicine, 2015
- Getting sepsis therapy rightScience, 2015
- Hospital-Level Variation in ICU Admission and Critical Care Procedures for Patients Hospitalized for Pulmonary EmbolismSocial psychiatry. Sozialpsychiatrie. Psychiatrie sociale, 2014
- Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based studyThe Lancet Respiratory Medicine, 2014
- What’s So Different about Big Data?. A Primer for Clinicians Trained to Think EpidemiologicallyAnnals of the American Thoracic Society, 2014
- Subphenotypes in acute respiratory distress syndrome: latent class analysis of data from two randomised controlled trialsThe Lancet Respiratory Medicine, 2014
- “Big Data” in the Intensive Care Unit. Closing the Data LoopAmerican Journal of Respiratory and Critical Care Medicine, 2013
- Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics supportJournal of Biomedical Informatics, 2008
- The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failureIntensive Care Medicine, 1996
- APACHE IICritical Care Medicine, 1985