Publications by authors named "Jason Fries"

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TIMER: temporal instruction modeling and evaluation for longitudinal clinical records.
Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer

NPJ Digit Med· September 2025

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Red teaming ChatGPT in medicine to yield real-world insights on model behavior.
Crystal T Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Jason A Fries

NPJ Digit Med· March 2025

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Hospitalization prediction from the emergency department using computer vision AI with short patient video clips.
Wui Ip, Maria Xenochristou, Elaine Sui, Elyse Ruan, Ryan Ribeira, Jason Fries

NPJ Digit Med· December 2024

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Exploring the Potential of Large Language Models in Neurology, Using Neurologic Localization as an Example.
Chia-Chun Chiang, Jason A Fries

Neurol Clin Pract· June 2024

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A multi-center study on the adaptability of a shared foundation model for electronic health records.
Lin Lawrence Guo, Jason Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith Morse

NPJ Digit Med· June 2024

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Merlin: A Vision Language Foundation Model for 3D Computed Tomography.
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Jason Fries

Res Sq· June 2024

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Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study.
Richard M Yoo, Ben T Viggiano, Krishna N Pundi, Jason A Fries, Aydin Zahedivash

JMIR Med Inform· April 2024

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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 Fries

BMC Med Inform Decis Mak· February 2024

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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, Jason Fries

J Am Med Inform Assoc· November 2023

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The Stanford Medicine data science ecosystem for clinical and translational research.
Alison Callahan, Euan Ashley, Somalee Datta, Priyamvada Desai, Todd A Ferris, Jason A Fries

JAMIA Open· October 2023

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The shaky foundations of large language models and foundation models for electronic health records.
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Jason Fries

NPJ Digit Med· July 2023

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Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Joshua Lemmon, Lin Lawrence Guo, Jose Posada, Stephen R Pfohl, Jason Fries

Methods Inf Med· May 2023

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EHR foundation models improve robustness in the presence of temporal distribution shift.
Lin Lawrence Guo, Ethan Steinberg, Scott Lanyon Fleming, Jose Posada, Joshua Lemmon, Jason Fries

Sci Rep· March 2023

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Investigating real-world consequences of biases in commonly used clinical calculators.
Richard M Yoo, Dev Dash, Jonathan H Lu, Julian Z Genkins, Naveed Rabbani, Jason A Fries

Am J Manag Care· January 2023

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A computational approach to measure the linguistic characteristics of psychotherapy timing, responsiveness, and consistency.
Adam S Miner, Scott L Fleming, Albert Haque, Jason A Fries, Tim Althoff

Npj Ment Health Res· December 2022

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Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study.
Natasha Alexander, Catherine Aftandilian, Lin Lawrence Guo, Erin Plenert, Jose Posada, Jason Fries

JMIR Med Inform· November 2022

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Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine.
Lin Lawrence Guo, Stephen R Pfohl, Jason Fries, Alistair E W Johnson, Jose Posada

Sci Rep· February 2022

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Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Lin Lawrence Guo, Stephen R Pfohl, Jason Fries, Jose Posada, Scott Lanyon Fleming

Appl Clin Inform· August 2021

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Ontology-driven weak supervision for clinical entity classification in electronic health records.
Jason A Fries, Ethan Steinberg, Saelig Khattar, Scott L Fleming, Jose Posada

Nat Commun· April 2021

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Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant Registries.
Nicholas J Giori, John Radin, Alison Callahan, Jason A Fries, Eni Halilaj

JAMA Netw Open· March 2021

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Language models are an effective representation learning technique for electronic health record data.
Ethan Steinberg, Ken Jung, Jason A Fries, Conor K Corbin, Stephen R Pfohl

J Biomed Inform· January 2021

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Cardiac Imaging of Aortic Valve Area From 34 287 UK Biobank Participants Reveals Novel Genetic Associations and Shared Genetic Comorbidity With Multiple Disease Phenotypes.
Aldo Córdova-Palomera, Catherine Tcheandjieu, Jason A Fries, Paroma Varma, Vincent S Chen

Circ Genom Precis Med· December 2020

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Ontology-driven weak supervision for clinical entity classification in electronic health records.
Jason A Fries, Ethan Steinberg, Saelig Khattar, Scott L Fleming, Jose Posada

ArXiv· August 2020

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Estimating the efficacy of symptom-based screening for COVID-19.
Alison Callahan, Ethan Steinberg, Jason A Fries, Saurabh Gombar, Birju Patel

NPJ Digit Med· July 2020

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