A Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models.

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Bibliographic Details
Title: A Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models.
Authors: Matos J; University of Porto (FEUP), Porto, Portugal; Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Gallifant J; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Critical Care, Guy's and St Thomas' NHS Trust, London, UK., Chowdhury A; Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Duke University, Durham, NC, USA., Economou-Zavlanos N; Duke Health, AI Health, Durham, NC, USA., Charpignon ML; Institute for Data Systems and Society, Massachusetts Institute of Technology, Cambridge, MA, USA., Gichoya J; Department of Radiology, Emory University, Atlanta, GA, USA., Celi LA; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Nazer L; Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan., King H; Durham VA Health Care System, Health Services Research and Development, Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham, NC, USA; Department of Population Health Sciences, Duke University, Durham, NC, USA; Division of General Internal Medicine, Duke University, Duke University School of Medicine, Durham, NC, USA., Wong AI; Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Duke University, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Division of Translational Biomedical Informatics, Durham, NC, USA. Electronic address: med@aiwong.com.
Source: Critical care clinics [Crit Care Clin] 2024 Oct; Vol. 40 (4), pp. 827-857.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Health Sciences Division Country of Publication: United States NLM ID: 8507720 Publication Model: Print Cited Medium: Internet ISSN: 1557-8232 (Electronic) Linking ISSN: 07490704 NLM ISO Abbreviation: Crit Care Clin Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1557-8232
DOI:10.1016/j.ccc.2024.05.011