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2019 NAACL NAACL 2019

Predicting ICU transfers using text messages between nurses and doctors

Abstract

AbstractWe explore the use of real-time clinical information, i.e., text messages sent between nurses and doctors regarding patient conditions in order to predict transfer to the intensive care unit(ICU). Preliminary results, in data from five hospitals, indicate that, despite being short and full of noise, text messages can augment other visit information to improve the performance of ICU transfer prediction.

🧭 Keyword Pioneer — intensive care unit
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Faiza Khan Khattak , Chloé Pou-Prom , Robert Wu , Frank Rudzicz

Topics

Machine Learning > Core Methods > Classification

Keywords

text classification text mining clinical text mining clinical prediction patient monitoring intensive care unit
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