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Ensemble Learning Method for In-Hospital Cardiac Arrest Prediction
Ja Hyung Koo, Sun Jung Lee, Yun Kwan Kim, Hee Seok Song
1462 - 1463
10.3233/SHTI231245
Research Article
Studies in Health Technology and Informatics
Volume 310: MEDINFO 2023 — The Future Is Accessible
Abstract

Cardiac arrest prediction for multivariate time series data have been developed and obtained high precision performance. However, these algorithms still did not achieved high sensitivity and suffer from a high false-alarm. Therefore, we propose a ensemble approach for prediction satisfying precision-recall result compared than other machine learning methods. As a result, our proposed method obtained an overall area under precision-recall curve of 46.7%. It is possible to more accurately respond rapidly cardiac arrest event.

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