Julie Vaughn

Julie Vaughn

ML for Health & Justice

Publications

Evaluating instruments for assessing healthspan: a multi-center cross-sectional study on health-related quality of life (HRQL) and frailty in the companion dog

Published in GeroScience, 2022

I contributed to some exploratory statistical analyses in the measures of healthspan presented in this paper.

Recommended citation: Chen, Frances L., et al. "Evaluating instruments for assessing healthspan: a multi-center cross-sectional study on health-related quality of life (HRQL) and frailty in the companion dog." GeroScience (2022). https://www.biorxiv.org/content/biorxiv/early/2022/07/22/2022.07.21.500746.full.pdf

Dataset Bias in Diagnostic AI systems: Guidelines for Dataset Collection and Usage

Published in ACM Conference in Health, Inference, and Learning, Workshop Spotlight, 2020

This paper describes a technical and policy framework for developing less biased/more robust healthcare AI systems.

Recommended citation: J. Vaughn, A. Baral, M. Vadari "Analyzing the Dangers of Dataset Bias in Diagnostic AI systems: Setting Guidelines for Dataset Collection and Usage", ACM Conference on Health, Inference and Learning, 2020 Workshop http://juliev42.github.io/files/CHIL_paper_bias.pdf

Monitoring of Patient Blanket Coverage using 3D Camera Data

Published in IEEE Xplore, 2019

This paper describes ML approaches with 3D camera data to monitor patient blanket coverage in a clinical setting.

Recommended citation: J. Vaughn, M. Milosevic and S. Parvaneh, "Monitoring of Patient Blanket Coverage using 3D Camera Data," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 864-867, doi: 10.1109/EMBC.2019.8856522. https://ieeexplore.ieee.org/document/8856522