Diversity in Machine Learning: A Systematic Review of Text-Based Diagnostic Applications.
As the storage of clinical data has transitioned into electronic formats, medical informatics has become increasingly relevant in providing diagnostic aid. The purpose of this review is to evaluate machine learning models that use text data for diagnosis and to assess the diversity of the included study populations.
Author(s): Fitzsimmons, Lane, Dewan, Maya, Dexheimer, Judith W
DOI: 10.1055/s-0042-1749119