Area of research
Infectious Diseases · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Clostridium difficile, with related work in Clostridioides, Logistic regression, Chest radiograph. Notable publications include 'Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces', 'A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers', and '350. Joint Modeling of EHR and CXR Data to Predict COVID-19 Deterioration'.
350. Joint Modeling of EHR and CXR Data to Predict COVID-19 Deterioration
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
2387. Learning the Influence of Individual Clostridioides difficile Infections
A Generalizable, Data-Driven Approach to Predict Daily Risk of<i>Clostridium difficile</i>Infection at Two Large Academic Health Centers