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Podcasts

Dennis Shung, MD, on Machine-Learning Risk Score for Upper GI Bleeding

 

In this podcast, Dennis Shung, MD, talks about his latest research paper in which his team used machine learning to develop a risk-stratification model to predict which patients would experience upper gastrointestinal bleeding and then compared the model’s performance with other risk scores. Read the full transcript here.

Reference:

  • Shung DL, Au B, Taylor RA, et al. Validation of a machine learning model that outperforms clinical risk scoring systems for upper gastrointestinal bleeding. Gastroenterology. 2020;158(1):160-167. https://doi.org/10.1053/j.gastro.2019.09.009 

 

Dennis Shung, MD, is a clinical fellow at the Yale School of Medicine in New Haven, Connecticut. 

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