Mina Attin (Nursing), Bryer Shareef (Computer Science), Xan Goodman (Libraries), and Kavita Batra (Medicine), along with their students Nelson Appiah-Agyei, Farzana Mahamud Rini, Lauren Bredesky, Jonathan Chavez, and Rawa Mohammed, published “Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review” in JMIR Research Protocols. This interdisciplinary project integrates expertise across medicine, public health, nursing, computer science, and library sciences to conduct an evidence synthesis on predictive methodologies for in-hospital cardiac arrest. The publication outlines the study protocol, and the full research is currently underway.
