Stacking Ensemble of Disproportionality Indicators for Adverse Vaccine Reactions Detection—An Empirical Study on Predicting Adverse Reactions of COVID-19 Vaccines-Reference-Cited by-同舟云学术

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Stacking Ensemble of Disproportionality Indicators for Adverse Vaccine Reactions Detection—An Empirical Study on Predicting Adverse Reactions of COVID-19 Vaccines

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Zhang Bo-Xun¹,Lin Wen-Yang²,Huang Tsai-Kuei³

Affiliation:

1. National University of Kaohsiung,Dept. of Computer Science and Information Engineering,Taiwan

2. National University of Kaohsiung,Dept. of Computer Science and Information Engineering,Kaohsiung,Taiwan

3. Kaohsiung Veterans General Hospital,Dept. of Pharmacy,Kaohsiung,Taiwan

Funder

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340698.pdf?arnumber=10340698

Reference24 articles.

1. Stochastic gradient boosting;friedman;Comput Stat Data Anal,2002

2. Empirical Bayesian data mining for discovering patterns in post-marketing drug safety

3. Current approaches to vaccine safety using observational data: A rationale for the EUMAEUS (Evaluating Use of Methods for Adverse Events Under Surveillance-for vaccines) study design;lai;Front Pharmacol,2021

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