10 citations · 12 across the 3 of their papers we have counts for
3 papers
DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Conor K. Corbin, Rob Maclay, Aakash Acharya +6
Machine learning (ML) applications in healthcare are extensively researched, but successful translations to the bedside are scant. Healthcare institutions are establishing framewor…
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection
Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen
When evaluating the performance of clinical machine learning models, one must consider the deployment population. When the population of patients with observed labels is only a sub…
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Ethan Steinberg, Ken Jung, Jason A. Fries +3
Widespread adoption of electronic health records (EHRs) has fueled the development of using machine learning to build prediction models for various clinical outcomes. This process…