Stephen R. Pfohl

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Clinical Medicine

Threshold Selection

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
Proxy Methods for Domain Adaptation. AISTATS (2024)
Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl
A Causal Perspective on Label Bias. FAccT (2024)
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR (2024)
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
Proxy Methods for Domain Adaptation. CoRR (2024)
Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, Jose D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai
Adapting to Latent Subgroup Shifts via Concepts and Proxies. AISTATS (2023)
Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai
Adapting to Latent Subgroup Shifts via Concepts and Proxies. CoRR (2022)
Stephen R. Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam H. Shah
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. CoRR (2022)
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
An empirical characterization of fair machine learning for clinical risk prediction. J. Biomed. Informatics 113 (2021)
Birju S. Patel, Ethan Steinberg, Stephen R. Pfohl, Nigam H. Shah
Learning decision thresholds for risk stratification models from aggregate clinician behavior. J. Am. Medical Informatics Assoc. 28 (10) (2021)
Lin Lawrence Guo, Stephen R. Pfohl, Jason Alan Fries, José D. Posada, Scott L. Fleming, Catherine Aftandilian, Nigam Shah, Lillian Sung
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine. Appl. Clin. Inform. 12 (4) (2021)
Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations. CoRR (2021)
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
Language models are an effective representation learning technique for electronic health record data. J. Biomed. Informatics 113 (2021)
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction. CoRR (2020)
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data. CoRR (2020)
Stephen R. Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah
Counterfactual Reasoning for Fair Clinical Risk Prediction. MLHC (2019)
Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller
Federated and Differentially Private Learning for Electronic Health Records. CoRR (2019)
Stephen R. Pfohl, Nigam Shah
Transfer learning to adapt predictive models for pediatric patients in the EHR. AMIA (2018)
Stephen R. Pfohl, Renaid B. Kim, Grant S. Coan, Cassie S. Mitchell
Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction. Frontiers Neuroinformatics 12 (2018)