SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification

Michael S. Yao, Allison Chae, Matthew T. Maclean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya. SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. In Islem Rekik, Ehsan Adeli 0001, Sang Hyun Park 0004, Celia Cintas, Ghada Zamzmi, editors, Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Volume 14277 of Lecture Notes in Computer Science, pages 46-57, Springer, 2023. [doi]

Abstract

Abstract is missing.