Conor K. Corbin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

White Matter Fiber

Emergency Department

Machine Learning

Diffusion Weighted Imaging

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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 (2024)
Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen
DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. J. Am. Medical Informatics Assoc. 30 (9) (2023)
Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen
DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record. CoRR (2023)
Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection. CoRR (2022)
Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen
How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed. AMIA (2022)
Minh Nguyen, Conor K. Corbin, Tiffany Eulalio, Nicolai P. Ostberg, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen
Developing machine learning models to personalize care levels among emergency room patients for hospital admission. J. Am. Medical Informatics Assoc. 28 (11) (2021)
Minh Nguyen, Nicolai P. Ostberg, Conor K. Corbin, Tiffany Eulalio, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen
Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage. AMIA (2021)
Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen
A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department. AMIA (2021)
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 (2021)
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)
Morteza Noshad, Christian Rose, Robert Thombley, Jonathan Chiang, Conor K. Corbin, Minh Nguyen, Vincent X. Liu, Julia Adler-Milstein, Jonathan H. Chen
Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes. AMIA (2020)
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 (2020)
Emily L. Dennis, Ananya Singh, Conor K. Corbin, Neda Jahanshad, Tiffany C. Ho, Lucy S. King, Lauren R. Borchers, Kathryn L. Humphreys, Paul M. Thompson, Ian H. Gotlib
Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity. ISBI (2019)
Vikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson
FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain. ISBI (2018)