Work

Teaching yourself about structural racism will improve your machine learning

Year: 2019

Type: article

Abstract: In this commentary, we put forth the following argument: Anyone conducting machine learning in a health-related domain should educate themselves about structural racism. We argue that structural racism is a critical body of knowledge needed for generalizability in almost all domains of health research.

Source: Biostatistics

DOI: 10.1093/biostatistics/kxz040

Authors: Whitney R Robinson, Audrey Renson, Ashley I Naimi

Institutions: University of North Carolina at Chapel Hill, University of Pittsburgh

Language: English

Topic: Racial and Ethnic Identity Research

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: bronze

Funders: National Institutes of Health, National Institute of Child Health and Human Development, National Institute on Minority Health and Health Disparities, Eunice Kennedy Shriver National Institute of Child Health and Human Development