Agata Foryciarz

According to our database, Agata Foryciarz authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms.

Agata Foryciarz, Neha Srivathsa, Oshra Sedan, Lisa Goldman-Rosas, Sherri Rose

J. Am. Medical Informatics Assoc., 2026

2025

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease.

Carter H. Nakamoto, Lucia Lushi Chen, Agata Foryciarz, Sherri Rose

CoRR, December, 2025

Incorporating area-level social drivers of health in predictive algorithms using electronic health record data.

Agata Foryciarz, Nicole Gladish, David H. Rehkopf, Sherri Rose

J. Am. Medical Informatics Assoc., 2025

2023

Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease.

Yizhe Xu, Agata Foryciarz, Ethan Steinberg, Nigam H. Shah

J. Am. Medical Informatics Assoc., April, 2023

2022

Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare.

Stephen Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam Shah

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

An empirical characterization of fair machine learning for clinical risk prediction.

Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah

J. Biomed. Informatics, 2021

A comparison of approaches to improve worst-case predictive model performance over patient subpopulations.

Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah

CoRR, 2021

2020

Where do algorithmic accountability and explainability frameworks take us in the real world?: from theory to practice.

Katarzyna Szymielewicz, Anna Bacciarelli, Fanny Hidvegi, Agata Foryciarz, Soizic Pénicaud, Matthias Spielkamp

Proceedings of the FAT* '20: Conference on Fairness, 2020

Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking.

Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi, Monica S. Lam

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020