| An empirical characterization of fair machine learning for clinical risk prediction SR Pfohl, A Foryciarz, NH Shah Journal of Biomedical Informatics 113, 103621, 2021 | 94 | 2021 |
| Zero-shot transfer learning with synthesized data for multi-domain dialogue state tracking G Campagna, A Foryciarz, M Moradshahi, MS Lam Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 91 | 2020 |
| A comparison of approaches to improve worst-case predictive model performance over patient subpopulations SR Pfohl, H Zhang, Y Xu, A Foryciarz, M Ghassemi, NH Shah Scientific reports 12 (1), 3254, 2022 | 28 | 2022 |
| Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare S Pfohl, Y Xu, A Foryciarz, N Ignatiadis, J Genkins, N Shah Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 20 | 2022 |
| Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation A Foryciarz, SR Pfohl, B Patel, NH Shah BMJ Health & Care Informatics 29, e100460, 2022 | 18 | 2022 |
| Where do algorithmic accountability and explainability frameworks take us in the real world? From theory to practice. K Szymielewicz, A Bacciarelli, F Hidvegi, A Foryciarz, S Pénicaud, ... Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 5 | 2020 |
| Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease Y Xu, A Foryciarz, E Steinberg, NH Shah Journal of the American Medical Informatics Association 30 (5), 878-887, 2023 | 1 | 2023 |
| Promoting Algorithmic Fairness in Clinical Risk Prediction SR Pfohl, A Foryciarz, NH Shah POLICY, 2022 | | 2022 |
| If We’re Not Careful, Tech Could Hurt the Fight against COVID-19 P Kalluri, L Gillespie, A Foryciarz, W Elhai, S Srivastava, A Panezi, ... Scientific American Blogs, 2020 | | 2020 |
| Generation and use of simulated genomic data A Foryciarz, IIDA Dean US Patent 10,629,292, 2020 | | 2020 |
| Chi controlla l’intelligenza artificiale A Foryciarz, D Leufer, K Szymielewicz Internazionale, 2020 | | 2020 |
| Reconstruction and Analysis of Mitochondrial Morphology and Distribution in Neocortical Neurons using 3D Deep Learning A Foryciarz Princeton University, 2018 | | 2018 |
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford Universitystanford.edu의 이메일 확인됨
