- Rapid response system
-
Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning
-
Youngnam Lee, Joon-myoung Kwon, Yeha Lee, Hyunho Park, Hugh Cho, Jinsik Park
-
Acute Crit Care. 2018;33(3):117-120. Published online August 31, 2018
-
DOI: https://doi.org/10.4266/acc.2018.00290
-
-
13,751
View
-
544
Download
-
19
Web of Science
-
21
Crossref
-
Abstract
PDF
- With the wider adoption of electronic health records, the rapid response team initially believed that mortalities could be significantly reduced but due to low accuracy and false alarms, the healthcare system is currently fraught with many challenges. Rule-based methods (e.g., Modified Early Warning Score) and machine learning (e.g., random forest) were proposed as a solution but not effective. In this article, we introduce the DeepEWS (Deep learning based Early Warning Score), which is based on a novel deep learning algorithm. Relative to the standard of care and current solutions in the marketplace, there is high accuracy, and in the clinical setting even when we consider the number of alarms, the accuracy levels are superior.
-
Citations
Citations to this article as recorded by
- External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study
Kyung-Jae Cho, Kwan Hyung Kim, Jaewoo Choi, Dongjoon Yoo, Jeongmin Kim Critical Care Medicine.2024; 52(3): e110. CrossRef - New Innovations to Address Sudden Cardiac Arrest
Christine P Shen, Sanjeev P Bhavnani, John D Rogers US Cardiology Review.2024;[Epub] CrossRef - Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram
Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim Scientific Reports.2024;[Epub] CrossRef - Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural network
Seung Jae Shin, Hee Sun Bae, Hyung Jun Moon, Gi Woon Kim, Young Soon Cho, Dong Wook Lee, Dong Kil Jeong, Hyun Joon Kim, Hyun Jung Lee The American Journal of Emergency Medicine.2023; 63: 29. CrossRef - Short-term load forecasting based on CEEMDAN and Transformer
Peng Ran, Kun Dong, Xu Liu, Jing Wang Electric Power Systems Research.2023; 214: 108885. CrossRef - Artificial Intelligence in Resuscitation: A Scoping Review
Dmitriy Viderman, Yerkin Abdildin, Kamila Batkuldinova, Rafael Badenes, Federico Bilotta Journal of Clinical Medicine.2023; 12(6): 2254. CrossRef - Prediction of Out-of-Hospital Cardiac Arrest Survival Outcomes Using a Hybrid Agnostic Explanation TabNet Model
Hung Viet Nguyen, Haewon Byeon Mathematics.2023; 11(9): 2030. CrossRef - Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments
Alberto Nogales, Fernando Pérez-Lara, Álvaro J. García-Tejedor Multimedia Tools and Applications.2023; 83(14): 42955. CrossRef - Machine learning pre-hospital real-time cardiac arrest outcome prediction (PReCAP) using time-adaptive cohort model based on the Pan-Asian Resuscitation Outcome Study
Hansol Chang, Ji Woong Kim, Weon Jung, Sejin Heo, Se Uk Lee, Taerim Kim, Sung Yeon Hwang, Sang Do Shin, Won Chul Cha, Marcus Ong Scientific Reports.2023;[Epub] CrossRef - Attempting cardiac arrest prediction using artificial intelligence on vital signs from Electronic Health Records
Bassel Soudan, Fetna F. Dandachi, Ali Bou Nassif Smart Health.2022; 25: 100294. CrossRef - BERT Learns From Electroencephalograms About Parkinson’s Disease: Transformer-Based Models for Aid Diagnosis
Alberto Nogales, Alvaro J. Garcia-Tejedor, Ana M. Maitin, Antonio Perez-Morales, Maria Dolores Del Castillo, Juan Pablo Romero IEEE Access.2022; 10: 101672. CrossRef - Artificial intelligence decision points in an emergency department
Hansol Chang, Won Chul Cha Clinical and Experimental Emergency Medicine.2022; 9(3): 165. CrossRef - Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database
Arom Choi, Min Joung Kim, Ji Min Sung, Sunhee Kim, Jayoung Lee, Heejung Hyun, Hyeon Chang Kim, Ji Hoon Kim, Hyuk-Jae Chang Journal of Cardiovascular Development and Disease.2022; 9(12): 430. CrossRef - Short-Term Load Forecasting Based on Ceemdan and Transformer
Peng Ran, Kun Dong, Xu Liu, Jing Wang SSRN Electronic Journal .2022;[Epub] CrossRef - A survey of deep learning models in medical therapeutic areas
Alberto Nogales, Álvaro J. García-Tejedor, Diana Monge, Juan Serrano Vara, Cristina Antón Artificial Intelligence in Medicine.2021; 112: 102020. CrossRef - A predictive framework in healthcare: Case study on cardiac arrest prediction
Samaneh Layeghian Javan, Mohammad Mehdi Sepehri Artificial Intelligence in Medicine.2021; 117: 102099. CrossRef - Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database (Preprint)
Arom Choi, Min Joung Kim, Ji Min Sung, Sunhee Kim, Jayong Lee, Heejung Hyun, Ji Hoon Kim, Hyuk-Jae Chang JMIR Medical Informatics.2021;[Epub] CrossRef - Predicting in-hospital mortality in adult non-traumatic emergency department patients: a retrospective comparison of the Modified Early Warning Score (MEWS) and machine learning approach
Kuan-Han Wu, Fu-Jen Cheng, Hsiang-Ling Tai, Jui-Cheng Wang, Yii-Ting Huang, Chih-Min Su, Yun-Nan Chang PeerJ.2021; 9: e11988. CrossRef - Cardioinformatics: the nexus of bioinformatics and precision cardiology
Bohdan B Khomtchouk, Diem-Trang Tran, Kasra A Vand, Matthew Might, Or Gozani, Themistocles L Assimes Briefings in Bioinformatics.2020; 21(6): 2031. CrossRef - Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study
Junetae Kim, Yu Rang Park, Jeong Hoon Lee, Jae-Ho Lee, Young-Hak Kim, Jin Won Huh JMIR Medical Informatics.2020; 8(3): e16349. CrossRef - Rapid response systems in Korea
Bo Young Lee, Sang-Bum Hong Acute and Critical Care.2019; 34(2): 108. CrossRef
|