Conor K. Corbin

According to our database, Conor K. Corbin authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.

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

CoRR, 2024

2023

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record.

Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen

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

2022

Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection.

Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen

CoRR, 2022

How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed.

Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen

Proceedings of the AMIA 2022, 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

Developing machine learning models to personalize care levels among emergency room patients for hospital admission.

Minh Nguyen, Conor K. Corbin, Tiffany Eulalio, Nicolai P. Ostberg, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen

J. Am. Medical Informatics Assoc., 2021

Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage.

Minh Nguyen, Nicolai P. Ostberg, Conor K. Corbin, Tiffany Eulalio, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department.

Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 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

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

Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.

Morteza Noshad, Christian Rose, Robert Thombley, Jonathan Chiang, Conor K. Corbin, Minh Nguyen, Vincent X. Liu, Julia Adler-Milstein, Jonathan H. Chen

Proceedings of the AMIA 2020, 2020

2019

Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain.

Vikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018