Consideration of Sociodemographics in Sepsis Risk Prediction: Implications and Next Steps.
作者信息
Ashana Deepshikha C, Parker William F
机构信息
Department of Medicine, Duke University, Durham, NC.
Department of Medicine, University of Chicago, Chicago, IL.
出版信息
Crit Care Med. 2025 Jul 17. doi: 10.1097/CCM.0000000000006777.
Abstract
摘要
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本文引用的文献
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Sepsis Alert Systems, Mortality, and Adherence in Emergency Departments: A Systematic Review and Meta-Analysis.脓毒症预警系统对急诊科死亡率和依从性的影响：系统评价和荟萃分析。
JAMA Netw Open. 2024 Jul 1;7(7):e2422823. doi: 10.1001/jamanetworkopen.2024.22823.
3
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.TRIPOD+AI 声明：报告使用回归或机器学习方法的临床预测模型的更新指南。
BMJ. 2024 Apr 16;385:e078378. doi: 10.1136/bmj-2023-078378.
4
The Impact of Health Care Algorithms on Racial and Ethnic Disparities : A Systematic Review.医疗算法对种族和民族差异的影响：系统评价。
Ann Intern Med. 2024 Apr;177(4):484-496. doi: 10.7326/M23-2960. Epub 2024 Mar 12.
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Awareness of Racial and Ethnic Bias and Potential Solutions to Address Bias With Use of Health Care Algorithms.种族和民族偏见意识，以及使用医疗保健算法解决偏见的潜在方法。
JAMA Health Forum. 2023 Jun 2;4(6):e231197. doi: 10.1001/jamahealthforum.2023.1197.
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