Developing neural network models for early detection of cardiac arrest in emergency department

Automated surveillance for cardiac arrests would be useful in overcrowded emergency departments. The purpose of this study is to develop and test artificial neural network (ANN) classifiers for early detection of patients at risk of cardiac arrest in emergency departments.

Source: The American Journal of Emergency Medicine - April 6, 2019 Category: Emergency Medicine Authors: Dong-Hyun Jang, Joonghee Kim, You Hwan Jo, Jae Hyuk Lee, Ji Eun Hwang, Seung Min Park, Dong Keon Lee, Inwon Park, Doyun Kim, Hyunglan Chang Source Type: research