Teaching yourself about structural racism will improve your machine learning

Biostatistics. 2020 Apr 1;21(2):339-344. doi: 10.1093/biostatistics/kxz040.

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.

Keywords: Causal inference; Directed acyclic graphs; Machine learning; Structural racism.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Biomedical Research*
  • Biostatistics*
  • Health Services Research*
  • Health Status Disparities*
  • Healthcare Disparities*
  • Humans
  • Machine Learning*
  • Racism*