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2020 – today
- 2024
[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]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): 1532-1542 (2023) - [i3]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 abs/2303.06269 (2023) - 2022
- [c6]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 - [i2]Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen:
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection. CoRR abs/2209.09188 (2022) - 2021
- [j3]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): 2423-2432 (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) - [c5]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 - [c4]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 - 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) - [c3]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 - [i1]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)
2010 – 2019
- 2019
- [c2]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: 126-130 - 2018
- [c1]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: 708-711
Coauthor Index
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