Covid-19 Risk Prediction with Ensemble Boosting Algorithms
Author:
Affiliation:
1. Burdur Mehmet Akif Ersoy University,Department of Management Information Systems,Burdur,Turkiye
2. Burdur Mehmet Akif Ersoy University,Department of Software Engineering,Burdur,Turkiye
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296537/10296542/10296689.pdf?arnumber=10296689
Reference21 articles.
1. Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID);kar;Scientific Reports,2021
2. Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments
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4. COVID-19: risk prediction through nature inspired algorithm;singh;World Journal of Engineering,2020
5. Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration;qiu;Engineering With Computers,2021
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