Ethan Steinberg

32 papers A* 6Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data.
ICLR
Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam Shah
2025 — conf
MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem.
KDD (2)
Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu
2025 A* conf
Time-to-Event Pretraining for 3D Medical Imaging.
ICLR
Zepeng Frazier Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam Shah
2024 J jnl
A multi-center study on the adaptability of a shared foundation model for electronic health records.
npj Digit. Medicine
Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
2024 J jnl
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.
BMC Medical Informatics Decis. Mak.
Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung
2024 J jnl
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs.
CoRR
Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam H. Shah
2024 A* conf
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records.
ICLR
Ethan Steinberg, Jason Alan Fries, Yizhe Xu, Nigam Shah
2024 A* conf
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.
AAAI
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
2024 J jnl
Time-to-Event Pretraining for 3D Medical Imaging.
CoRR
Zepeng Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam H. Shah
2024 J jnl
meds_reader: A fast and efficient EHR processing library.
CoRR
Ethan Steinberg, Michael Wornow, Suhana Bedi, Jason Alan Fries, Matthew B. A. McDermott, Nigam H. Shah
2023 J jnl
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records.
CoRR
Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
2023 J jnl
A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.
Appl. Clin. Inform.
Naveed Rabbani, Michael Bedgood, Conner Brown, Ethan Steinberg, Rachel L. Goldstein, Jennifer L. Carlson, Natalie M. Pageler, Keith E. Morse
2023 J jnl
Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease.
J. Am. Medical Informatics Assoc.
Yizhe Xu, Agata Foryciarz, Ethan Steinberg, Nigam H. Shah
2023 A* conf
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.
NeurIPS
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah
2023 J jnl
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.
CoRR
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah
2023 A* conf
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms.
NeurIPS
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries
2023 J jnl
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.
CoRR
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries
2023 J jnl
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.
CoRR
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
2023 J jnl
Self-Supervised Time-to-Event Modeling with Structured Medical Records.
CoRR
Ethan Steinberg, Yizhe Xu, Jason A. Fries, Nigam Shah
2023 J jnl
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
J. Am. Medical Informatics Assoc.
Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, José D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung
2023 J jnl
The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate.
Appl. Clin. Inform.
Michael Bedgood, Naveed Rabbani, Conner Brown, Rachel L. Goldstein, Jennifer L. Carlson, Ethan Steinberg, Austin Powell, Natalie M. Pageler, Keith E. Morse
2023 J jnl
The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.
CoRR
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason A. Fries, Nigam H. Shah
2023 J jnl
The shaky foundations of large language models and foundation models for electronic health records.
npj Digit. Medicine
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason Alan Fries, Nigam H. Shah
2022 — conf
Instability in clinical risk stratification models using deep learning.
ML4H@NeurIPS
Daniel Lopez Martinez, Alex Yakubovich, Martin Seneviratne, Ádám D. Lelkes, Akshit Tyagi, Jonas Kemp, Ethan Steinberg, N. Lance Downing, Ron C. Li, Keith E. Morse, Nigam H. Shah, Ming-Jun Chen
2022 J jnl
Instability in clinical risk stratification models using deep learning.
CoRR
Daniel Lopez Martinez, Alex Yakubovich, Martin Seneviratne, Ádám D. Lelkes, Akshit Tyagi, Jonas Kemp, Ethan Steinberg, N. Lance Downing, Ron C. Li, Keith E. Morse, Nigam H. Shah, Ming-Jun Chen
2021 J jnl
Computational drug repositioning of atorvastatin for ulcerative colitis.
J. Am. Medical Informatics Assoc.
Lawrence Bai, Madeleine K. D. Scott, Ethan Steinberg, Laurynas Kalesinskas, Aida Habtezion, Nigam H. Shah, Purvesh Khatri
2021 J jnl
Language models are an effective representation learning technique for electronic health record data.
J. Biomed. Informatics
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
2021 J jnl
Learning decision thresholds for risk stratification models from aggregate clinician behavior.
J. Am. Medical Informatics Assoc.
Birju S. Patel, Ethan Steinberg, Stephen R. Pfohl, Nigam H. Shah
2020 J jnl
Estimating the efficacy of symptom-based screening for COVID-19.
npj Digit. Medicine
Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju S. Patel, Conor K. Corbin, Nigam H. Shah
2020 J jnl
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data.
CoRR
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
2020 J jnl
Trove: Ontology-driven weak supervision for medical entity classification.
CoRR
Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, José D. Posada, Alison Callahan, Nigam H. Shah
2019 J jnl
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models.
CoRR
Ethan Steinberg, Peter J. Liu