Ethan Steinberg

According to our database, Ethan Steinberg authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.

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

BMC Medical Informatics Decis. Mak., December, 2024

A multi-center study on the adaptability of a shared foundation model for electronic health records.

Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung

npj Digit. Medicine, 2024

meds_reader: A fast and efficient EHR processing library.

Ethan Steinberg, Michael Wornow, Suhana Bedi, Jason Alan Fries, Matthew B. A. McDermott, Nigam H. Shah

CoRR, 2024

MOTOR: A Time-to-Event Foundation Model For Structured Medical Records.

Ethan Steinberg, Jason Alan Fries, Yizhe Xu, Nigam Shah

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

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

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

A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.

Naveed Rabbani, Michael Bedgood, Conner Brown, Ethan Steinberg, Rachel L. Goldstein, Jennifer L. Carlson, Natalie M. Pageler, Keith E. Morse

Appl. Clin. Inform., May, 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

The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate.

Michael Bedgood, Naveed Rabbani, Conner Brown, Rachel Goldstein, Jennifer L. Carlson, Ethan Steinberg, Austin Powell, Natalie M. Pageler, Keith E. Morse

Appl. Clin. Inform., March, 2023

The shaky foundations of large language models and foundation models for electronic health records.

Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason Alan Fries, Nigam H. Shah

npj Digit. Medicine, 2023

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries

CoRR, 2023

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.

Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason A. Fries, Nigam H. Shah

CoRR, 2023

Self-Supervised Time-to-Event Modeling with Structured Medical Records.

Ethan Steinberg, Yizhe Xu, Jason A. Fries, Nigam Shah

CoRR, 2023

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.

Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms.

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Instability in clinical risk stratification models using deep learning.

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

Proceedings of the Machine Learning for Health, 2022

2021

Language models are an effective representation learning technique for electronic health record data.

Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah

J. Biomed. Informatics, 2021

Learning decision thresholds for risk stratification models from aggregate clinician behavior.

Birju S. Patel, Ethan Steinberg, Stephen R. Pfohl, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2021

Computational drug repositioning of atorvastatin for ulcerative colitis.

Lawrence Bai, Madeleine K. D. Scott, Ethan Steinberg, Laurynas Kalesinskas, Aida Habtezion, Nigam H. Shah, Purvesh Khatri

J. Am. Medical Informatics Assoc., 2021

2020

Estimating the efficacy of symptom-based screening for COVID-19.

Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju S. Patel, Conor K. Corbin, Nigam H. Shah

npj Digit. Medicine, 2020

Trove: Ontology-driven weak supervision for medical entity classification.

Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, José D. Posada, Alison Callahan, Nigam H. Shah

CoRR, 2020

Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data.

Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah

CoRR, 2020

2019

Using Ontologies To Improve Performance In Massively Multi-label Prediction Models.

Ethan Steinberg, Peter J. Liu

CoRR, 2019