Predicting Chief Complaints at Triage Time in the Emergency Department

Abstract

As hospitals increasingly use electronic medical records for research and quality improvement, it is important to provide ways to structure medical data without losing either expressiveness or time. We present a system that helps achieve this goal by building an extended ontology of chief complaints and automatically predicting a patient’s chief complaint, based on their vitals and the nurses’ description of their state at arrival.

Publication
NeurIPS Workshop on Machine Learning for Clinical Data Analysis and Healthcare
Yacine Jernite
Yacine Jernite
PhD student

Research Scientist, Hugging Face

Yoni Halpern
Yoni Halpern
PhD student

Google Research

David Sontag
David Sontag
Associate Professor of EECS

My research focuses on advancing machine learning and artificial intelligence, and using these to transform health care.

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