A Clinician’s Guide to Understanding Bias in Critical Clinical Prediction Models-Reference-Cited by-同舟云学术

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

Published:2024-10 Issue:4 Volume:40 Page:827-857
ISSN:0749-0704
Container-title:Critical Care Clinics
language:en
Short-container-title:Critical Care Clinics

Author:

Matos João,Gallifant Jack,Chowdhury Anand,Economou-Zavlanos Nicoleta,Charpignon Marie-Laure,Gichoya Judy,Celi Leo Anthony,Nazer Lama,King Heather,Wong An-Kwok Ian

Funder

National Institute on Minority Health and Health Disparities

National Center for Advancing Translational Sciences

National Institutes of Health

Publisher

Elsevier BV

Reference160 articles.

1. The changes in pulse pressure variation or stroke volume variation after a “tidal volume challenge”. Reliably predict fluid responsiveness during low tidal volume ventilation;Myatra,2017

2. Pulse pressure variations to predict fluid responsiveness: influence of tidal volume;De Backer;Intensive Care Med,2005

3. External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients;Wong;JAMA Intern Med,2021

4. Glucommander: a computer-directed intravenous insulin system shown to be safe, simple, and effective in 120,618 h of operation;Davidson;Diabetes Care,2005

5. Dissecting racial bias in an algorithm used to manage the health of populations;Obermeyer;Science,2019

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