Conor K. Corbin

17 papers Misc 4Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Monitoring strategies for continuous evaluation of deployed clinical prediction models. J. Biomed. Informatics Grace Y. E. Kim, Conor K. Corbin, François Grolleau, Michael T. M. Baiocchi, Jonathan H. Chen
2025	J	`jnl`	Real time machine learning prediction of next generation sequencing test results in live clinical settings. npj Digit. Medicine Grace Y. E. Kim, Matthew Schwede, Conor K. Corbin, Sajjad Fouladvand, Rondeep Brar, David Iberri, William Shomali, Jean Oak, Dita Gratzinger, Henning Stehr, Jonathan H. Chen
2025	J	`jnl`	SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction. CoRR April S. Liang, Fatemeh Amrollahi, Yixing Jiang, Conor K. Corbin, Grace Y. E. Kim, David Mui, Trevor Crowell, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Jack McKeown, Margaret Smith, Steven Lin, Arnold Milstein, Kevin Schulman, Jason Hom, Michael A. Pfeffer, Tho D. Pham, David Svec, Weihan Chu, Lisa Shieh, Christopher D. Sharp, Stephen P. Ma, Jonathan H. Chen
2024	J	`jnl`	Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR 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
2023	J	`jnl`	DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record. CoRR Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen
2023	J	`jnl`	DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. J. Am. Medical Informatics Assoc. Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen
2022	J	`jnl`	Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection. CoRR Conor K. Corbin, Michael T. M. Baiocchi, Jonathan H. Chen
2022	Misc	`conf`	How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed. AMIA Conor K. Corbin, Michael T. M. Baiocchi, Jonathan H. Chen
2021	Misc	`conf`	A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department. AMIA Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen
2021	J	`jnl`	Developing machine learning models to personalize care levels among emergency room patients for hospital admission. J. Am. Medical Informatics Assoc. Minh Nguyen, Conor K. Corbin, Tiffany Eulalio, Nicolai P. Ostberg, Gautam Machiraju, Ben J. Marafino, Michael T. M. Baiocchi, Christian Rose, Jonathan H. Chen
2021	J	`jnl`	Language models are an effective representation learning technique for electronic health record data. J. Biomed. Informatics Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
2021	Misc	`conf`	Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage. AMIA Minh Nguyen, Nicolai P. Ostberg, Conor K. Corbin, Tiffany Eulalio, Gautam Machiraju, Ben J. Marafino, Michael T. M. Baiocchi, Christian Rose, Jonathan H. Chen
2020	Misc	`conf`	Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes. AMIA Morteza Noshad, Christian Rose, Robert Thombley, Jonathan Chiang, Conor K. Corbin, Minh Nguyen, Vincent X. Liu, Julia Adler-Milstein, Jonathan H. Chen
2020	J	`jnl`	Estimating the efficacy of symptom-based screening for COVID-19. npj Digit. Medicine Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju S. Patel, Conor K. Corbin, Nigam H. Shah
2020	J	`jnl`	Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data. CoRR Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
2019	—	`conf`	Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity. ISBI 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
2018	—	`conf`	FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain. ISBI Vikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson