Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China-Reference-Cited by-同舟云学术

Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China

Published:2023-10-20 Issue: Volume:22 Page:496-499
ISSN:
Container-title:Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science
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Author:

Wei Lan¹^ORCID,Li Ye²^ORCID,Guo Jianying²^ORCID,Li Xiang²^ORCID,Mei Shujiang¹^ORCID,Wu Yongsheng¹^ORCID,Xie Guotong³^ORCID,Feng Tiejian⁴^ORCID

Affiliation:

1. Shenzhen Center of Disease Control and Prevention, China

2. Ping An Technology, China

3. Ping An Technology; Ping An Healthcare Technology, Ping An International Smart City Technology Co., Ltd, China

4. Shenzhen Center of Disease Control and Prevention, Shenzhen Research Center for Infectious Disease Control and Prevention, Institute of Chinese Academy of Medical Sciences, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644116.3644197

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3. Chen S Xu J Wu Y Wang X Fang S Cheng J Predicting temporal propagation of seasonal influenza using improved gaussian process model. J Biomed Inform. 2019 May;93:103144.

4. Fuhrmann C. The effects of weather and climate on the seasonality of influenza: what we know and what we need to know. Geography Compass. 2010 Jul;4(7):718-30.

5. Wang G Wei W Jiang J Ning C Chen H Huang J Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi China. Epidemiol Infect. 2019; 147:e194.