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2020 – today
- 2024
[j11]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:
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. BMC Medical Informatics Decis. Mak. 24(1): 51 (2024)- [j10]Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung:
A multi-center study on the adaptability of a shared foundation model for electronic health records. npj Digit. Medicine 7(1) (2024) - [c5]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:
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. AAAI 2024: 22021-22030 - [c4]Ethan Steinberg, Jason Alan Fries, Yizhe Xu, Nigam Shah:
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records. ICLR 2024 - [i12]Ethan Steinberg, Michael Wornow, Suhana Bedi, Jason Alan Fries, Matthew B. A. McDermott, Nigam H. Shah:
meds_reader: A fast and efficient EHR processing library. CoRR abs/2409.09095 (2024) - [i11]Zepeng Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam H. Shah:
Time-to-Event Pretraining for 3D Medical Imaging. CoRR abs/2411.09361 (2024) - 2023
- [j9]Michael Bedgood, Naveed Rabbani, Conner Brown, Rachel L. Goldstein, Jennifer L. Carlson, Ethan Steinberg, Austin Powell, Natalie M. Pageler, Keith E. Morse:
The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate. Appl. Clin. Inform. 14(2): 337-344 (2023) - [j8]Naveed Rabbani, Michael Bedgood, Conner Brown, Ethan Steinberg, Rachel L. Goldstein, Jennifer L. Carlson, Natalie M. Pageler, Keith E. Morse:
A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes. Appl. Clin. Inform. 14(3): 400-407 (2023) - [j7]Yizhe Xu, Agata Foryciarz, Ethan Steinberg, Nigam H. Shah:
Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease. J. Am. Medical Informatics Assoc. 30(5): 878-887 (2023) - [j6]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:
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. J. Am. Medical Informatics Assoc. 30(12): 2004-2011 (2023) - [j5]Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason Alan Fries, Nigam H. Shah:
The shaky foundations of large language models and foundation models for electronic health records. npj Digit. Medicine 6 (2023) - [c3]Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries:
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. NeurIPS 2023 - [c2]Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah:
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. NeurIPS 2023 - [i10]Ethan Steinberg, Yizhe Xu, Jason A. Fries, Nigam Shah:
Self-Supervised Time-to-Event Modeling with Structured Medical Records. CoRR abs/2301.03150 (2023) - [i9]Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason A. Fries, Nigam H. Shah:
The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs. CoRR abs/2303.12961 (2023) - [i8]Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah:
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. CoRR abs/2307.02028 (2023) - [i7]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:
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR abs/2308.14089 (2023) - [i6]Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries:
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. CoRR abs/2311.10798 (2023) - [i5]Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung:
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records. CoRR abs/2311.11483 (2023) - 2022
- [c1]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:
Instability in clinical risk stratification models using deep learning. ML4H@NeurIPS 2022: 552-565 - [i4]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:
Instability in clinical risk stratification models using deep learning. CoRR abs/2211.10828 (2022) - 2021
- [j4]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): 2258-2264 (2021) - [j3]Lawrence Bai, Madeleine K. D. Scott, Ethan Steinberg, Laurynas Kalesinskas, Aida Habtezion, Nigam H. Shah, Purvesh Khatri:
Computational drug repositioning of atorvastatin for ulcerative colitis. J. Am. Medical Informatics Assoc. 28(11): 2325-2335 (2021) - [j2]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: 103637 (2021) - 2020
- [j1]Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju S. Patel, Conor K. Corbin, Nigam H. Shah:
Estimating the efficacy of symptom-based screening for COVID-19. npj Digit. Medicine 3 (2020) - [i3]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 abs/2001.05295 (2020) - [i2]Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, José D. Posada, Alison Callahan, Nigam H. Shah:
Trove: Ontology-driven weak supervision for medical entity classification. CoRR abs/2008.01972 (2020)
2010 – 2019
- 2019
- [i1]Ethan Steinberg, Peter J. Liu:
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models. CoRR abs/1905.12126 (2019)
Coauthor Index
aka: Jason A. Fries
aka: Nigam Shah
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