Enhanced Vaccine Recommender System to prevent COVID-19 based on Clustering and Classification-Reference-Cited by-同舟云学术

Enhanced Vaccine Recommender System to prevent COVID-19 based on Clustering and Classification

Published:2021-10-27 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Engineering and Emerging Technologies (ICEET)
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Author:

Adday Bahaulddin Nabhan¹,Shaban Faris Ali Jasim²,Jawad Mohammed Rasool³,Jaleel Refed Adnan⁴,Zahra Musadaq Mahir Abdel⁵

Affiliation:

1. Directorate General of Education Diyala Ministry of Education,Baghdad,Iraq

2. Alnukhba University College,dept. of Electronic Engineering,Baghdad,Iraq

3. University of Babylon,dept. of Network technology and info. systems,Babylon,Iraq

4. Al-Nahrain University,dept. of Info. and comm. Engineering,Baghdad,Iraq

5. Al-Mustaqbal University College, University of Babylon,dept. of Computer Tech. Engineering, dept. of Electrical Engineering,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9659488/9659490/09659629.pdf?arnumber=9659629

Reference32 articles.

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2. An Ensemble Stock Predictor and Recommender System

3. Performance Evaluation of Recommender Systems

4. Framework of Health Recommender System for COVID-19 Self-assessment and Treatments: A Case Study in Malaysia;othman;IJCSNS International Journal of Computer Science and Network Security,2021

5. Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges;abdulrahman;KDIR,2020

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