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

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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
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  Data: A Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models.
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  Data: <searchLink fieldCode="AU" term="%22Matos+J%22">Matos J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Gallifant+J%22">Gallifant J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chowdhury+A%22">Chowdhury A</searchLink>; Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Duke University, Durham, NC, USA.<br /><searchLink fieldCode="AU" term="%22Economou-Zavlanos+N%22">Economou-Zavlanos N</searchLink>; Duke Health, AI Health, Durham, NC, USA.<br /><searchLink fieldCode="AU" term="%22Charpignon+ML%22">Charpignon ML</searchLink>; Institute for Data Systems and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Gichoya+J%22">Gichoya J</searchLink>; Department of Radiology, Emory University, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Celi+LA%22">Celi LA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Nazer+L%22">Nazer L</searchLink>; Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan.<br /><searchLink fieldCode="AU" term="%22King+H%22">King H</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Wong+AI%22">Wong AI</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%228507720%22">Critical care clinics</searchLink> [Crit Care Clin] 2024 Oct; Vol. 40 (4), pp. 827-857.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Health+Sciences+Division%22">Elsevier Health Sciences Division </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8507720 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1557-8232 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207490704%22">07490704 </searchLink><i>NLM ISO Abbreviation: </i>Crit Care Clin <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ccc.2024.05.011
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        Text: English
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            – D: 01
              M: 10
              Text: 2024 Oct
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