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Keith E. Morse
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2020 – today
- 2024
- [j7]Dazheng Zhang
, Jiayi Tong, Naimin Jing, Yuchen Yang, Chongliang Luo, Yiwen Lu, Dimitri A. Christakis, Diana Güthe, Mady Hornig
Learning competing risks across multiple hospitals: one-shot distributed algorithms. J. Am. Medical Informatics Assoc. 31(5): 1102-1112 (2024) - [j6]Lin Lawrence Guo, Keith E. Morse
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. BMC Medical Informatics Decis. Mak. 24(1): 51 (2024) - [j5]Lin Lawrence Guo, Jason Alan Fries
A multi-center study on the adaptability of a shared foundation model for electronic health records. npj Digit. Medicine 7(1) (2024) - [c2]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 - [i4]Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah:
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR abs/2403.07911 (2024) - 2023
- [j4]Michael Bedgood, Naveed Rabbani, Conner Brown
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) - [j3]Naveed Rabbani, Michael Bedgood, Conner Brown
A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes. Appl. Clin. Inform. 14(3): 400-407 (2023) - [j2]Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse
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) - [i3]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
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR abs/2308.14089 (2023) - [i2]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 - [i1]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
- [j1]Sehj Kashyap
A survey of extant organizational and computational setups for deploying predictive models in health systems. J. Am. Medical Informatics Assoc. 28(11): 2445-2450 (2021)
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