Large Language Models Encode Clinical Knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 2022 | 90 | 2022 |
Characterization of the contribution of genetic background and gender to disease progression in the SOD1 G93A mouse model of amyotrophic lateral sclerosis: a meta-analysis SR Pfohl, MT Halicek, CS Mitchell Journal of neuromuscular diseases 2 (2), 137-150, 2015 | 81 | 2015 |
An empirical characterization of fair machine learning for clinical risk prediction SR Pfohl, A Foryciarz, NH Shah Journal of biomedical informatics 113, 103621, 2021 | 59 | 2021 |
Creating fair models of atherosclerotic cardiovascular disease risk S Pfohl, B Marafino, A Coulet, F Rodriguez, L Palaniappan, NH Shah Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 271-278, 2019 | 58 | 2019 |
Federated and differentially private learning for electronic health records SR Pfohl, AM Dai, K Heller arXiv preprint arXiv:1911.05861, 2019 | 48 | 2019 |
Language models are an effective representation learning technique for electronic health record data E Steinberg, K Jung, JA Fries, CK Corbin, SR Pfohl, NH Shah Journal of Biomedical Informatics 113, 103637, 2021 | 47 | 2021 |
Counterfactual Reasoning for Fair Clinical Risk Prediction SR Pfohl, T Duan, DY Ding, NH Shah Proceedings of the 4th Machine Learning for Healthcare Conference 106, 325-358, 2019 | 43 | 2019 |
Unraveling the complexity of amyotrophic lateral sclerosis survival prediction SR Pfohl, RB Kim, GS Coan, CS Mitchell Frontiers in neuroinformatics 12, 36, 2018 | 34 | 2018 |
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine LL Guo, SR Pfohl, J Fries, AEW Johnson, J Posada, C Aftandilian, N Shah, ... Scientific Reports 12 (1), 1-10, 2022 | 32 | 2022 |
Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network Q Wang, JM Reps, KF Kostka, PB Ryan, Y Zou, EA Voss, PR Rijnbeek, ... PloS one 15 (1), e0226718, 2020 | 26 | 2020 |
The effectiveness of multitask learning for phenotyping with electronic health records data DY Ding, C Simpson, S Pfohl, DC Kale, K Jung, NH Shah BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 18-29, 2018 | 25 | 2018 |
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine LL Guo, SR Pfohl, J Fries, J Posada, SL Fleming, C Aftandilian, N Shah, ... Applied Clinical Informatics 12 (04), 808-815, 2021 | 21 | 2021 |
Improving the Fairness of Chest X-ray Classifiers H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi Conference on Health, Inference, and Learning, 204-233, 2022 | 16 | 2022 |
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), 1-13, 2022 | 16 | 2022 |
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All SK Sarkar, S Roy, E Alsentzer, MBA McDermott, F Falck, I Bica, G Adams, ... Machine Learning for Health, 1-11, 2020 | 15 | 2020 |
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models C Luo, MN Islam, NE Sheils, J Buresh, J Reps, MJ Schuemie, PB Ryan, ... Nature communications 13 (1), 1678, 2022 | 11 | 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 2022 ACM Conference on Fairness, Accountability, and Transparency, 1039-1052, 2022 | 9 | 2022 |
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation A Foryciarz, SR Pfohl, B Patel, N Shah BMJ Health & Care Informatics 29 (1), 2022 | 8 | 2022 |
Tackling bias in AI health datasets through the STANDING Together initiative S Ganapathi, J Palmer, JE Alderman, M Calvert, C Espinoza, J Gath, ... Nature Medicine 28 (11), 2232-2233, 2022 | 7 | 2022 |
Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study A Nestsiarovich, JM Reps, ME Matheny, SL DuVall, KE Lynch, M Beaton, ... Translational Psychiatry 11 (1), 642, 2021 | 6 | 2021 |