Exploring Gender Disparities in Time to Diagnosis
Video
Team Information
Team Members
Tony Sun, PhD Candidate, Department of Biomedical Informatics, Graduate School of Arts and Sciences
Jennifer Chen, MA Student, Department of Biomedical Informatics, Graduate School of Arts and Sciences
Oliver Bear Don't Walk, PhD Candidate, Department of Biomedical Informatics, Graduate School of Arts and Sciences
Harry Reyes Nieva, PhD Candidate, Department of Biomedical Informatics, Graduate School of Arts and Sciences
Jaan Altosaar, Postdoctoral Officer of Research, Department of Biomedical Informatics, Graduate School of Arts and Sciences
Faculty Advisor: Noémie Elhadad, Associate Professor, Department of Biomedical Informatics, Columbia University
Abstract
Gender based disparities contribute to different healthcare outcomes. We propose a large scale per-phenotype analysis of gender differences in time to diagnosis across a longitudinal diagnostic process. Evaluating binary diagnosis classifiers and gender recall gaps across diagnosis timesteps, we observe gender differences in diagnosis accuracy across time, and through our per-phenotype measure of gender bias called Mean Squared Discrimination observe gender bias in TTD across phenotypes.
Contact this Team
Contact: Tony Sun (use form to send email)
