Methods for retrospectively improving race/ethnicity data quality: a scoping review.

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第一作者： Matthew K,Chin

第一单位： Section for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, United States.

作者： Matthew K,Chin ^[1] ; Lan N,Đoàn ^[1] ; Rienna G,Russo ^[1] ; Timothy,Roberts ^[2] ; Sonia,Persaud ^[3] ; Emily,Huang ^[1] ; Lauren,Fu ^[4] ; Kiran Y,Kui ^[5] ; Simona C,Kwon ^[1] ; Stella S,Yi ^[1]

作者单位： Section for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, United States. ^[1] NYU Langone Health Sciences Library, NYU Grossman School of Medicine New York, NY 10016, United States. ^[2] Section for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, United States.;Department of Health Policy and Management, CUNY School of Public Health & Health Policy, New York, NY 10027, United States. ^[3] Section for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, United States.;Georgetown University, Washington DC 20007, United States. ^[4] Section for Health Equity, Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, United States.;Department of Epidemiology, Columbia Mailman School of Public Health, New York, NY 10032, United States. ^[5]

关键词 algorithms classification data analysis ethnicity health equity machine learning racial groups systemic racism

主题词人类(Humans);缺医地区(Medically Underserved Area);回顾性研究(Retrospective Studies)

DOI 10.1093/epirev/mxad002

PMID 37045807

发布时间 2025-01-30

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