Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic-Reference-Cited by-同舟云学术

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Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Nieto-Chaupis Huber¹

Affiliation:

1. Universidad Autónoma del Perú Panamericana Sur Km. 16.3 Villa el Salvador Lima PERú

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09994982.pdf?arnumber=9994982

Reference17 articles.

1. Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China

2. Spread of SARS-CoV-2

3. Author Correction: China’s response to a novel coronavirus stands in stark contrast to the 2002 SARS outbreak response

4. Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals

5. New strategy for COVID-19 vaccination: targeting the receptor-binding domain of the SARS-CoV-2 spike protein

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Intelligent Technique For The Effective Prediction Of Monkeypox Outbreak;2023 3rd International Conference on Artificial Intelligence (ICAI);2023-02-22

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