Correction: A common longitudinal intensive care unit data format (CLIF) for critical illness research
Year: 2025
Type: erratum
Source: Intensive Care Medicine
Authors: Juan C. Rojas, Patrick G. Lyons, Kaveri Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour, Kevin G. Buell, Kevin D. Smith, Catherine A. Gao, Saki Amagai, Chengsheng Mao, Yuan Luo, Anna K. Barker, Mark Nuppnau, Michael Hermsen, Jay L. Koyner, Haley Beck, Rachel Baccile, Zewei Liao, Kyle A. Carey, Brenna Park-Egan, Xuan Han, Alexander C. Ortiz, Benjamin E. Schmid, Gary E. Weissman, Chad H. Hochberg, Nicholas E. Ingraham, William F. Parker
Institutions: Rush University, Oregon Health & Science University, University of Chicago, Emory University, Northwestern University, University of Michigan, Michigan Medicine, University of Wisconsin–Madison, University of Chicago Medical Center, Tufts University, University of Pennsylvania, Johns Hopkins University, University of Minnesota
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute on Drug Abuse, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, U.S. National Library of Medicine, National Center for Advancing Translational Sciences
Awards: Mending a Broken Heart Allocation System with Machine Learning, G1676635069, G197529489, G2340152788, G2578364121, G2636433303, G2984098479, High Performance Computing and Machine Learning Infrastructure for Oregon Life Sciences, G3981699125, G5110925203, G5630650043, Modeling the Incompleteness and Biases of Health Data, G6233336011, G6892996993, Cardiology and Pulmonary Clinical Research Training Program
OpenAlex ID: W4408994811