Stepwise Regression Machine Learning Models for In-Hospital Mortality Prediction in Patients After ST-Segment Slevation Myocardial Infarction (STEMI)-Reference-Cited by-同舟云学术

Stepwise Regression Machine Learning Models for In-Hospital Mortality Prediction in Patients After ST-Segment Slevation Myocardial Infarction (STEMI)

Published:2022-12-07 Issue: Volume: Page:
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Container-title:2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
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Author:

Cheng Chi-Yung¹,Chiu I-Min¹,Lin Chun-Hung Richard¹,Lin Xin-Hong²,Chen Fu-Cheng²,Hsu Ting-Yu²

Affiliation:

1. National Sun Yat-sen University,Department of Computer Science and Engineering,Kaohsiung,Taiwan

2. Kaohsiung Chang Gung Memorial Hospital,Department of Emergency Medicine,Kaohsiung,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051724/10051766/10051815.pdf?arnumber=10051815

Reference25 articles.

1. PRAISE study group;d'ascenzo;Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE) a modelling study of pooled datasets Lancet,2021

2. Predicting 30-day mortality after ST elevation myocardial infarction: Machine learning- based random forest and its external validation using two independent nationwide datasets

3. Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction

4. A machine learning–based 1-year mortality prediction model after hospital discharge for clinical patients with acute coronary syndrome

5. Clinical Pathways for Acute Coronary Syndromes in China (CPACS) Investigators;peng;Predicting In-Hospital Mortality in Patients With Acute Coronary Syndrome in China Am J Cardiol,2017

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