Predicting COVID19 Spread in Saudi Arabia Using Artificial Intelligence Techniques—Proposing a Shift Towards a Sustainable Healthcare Approach-Reference-Cited by-同舟云学术

Predicting COVID19 Spread in Saudi Arabia Using Artificial Intelligence Techniques—Proposing a Shift Towards a Sustainable Healthcare Approach

Published:2020-09-01 Issue: Volume: Page:83-98
ISSN:1860-949X
Container-title:Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
language:
Short-container-title:

Author:

Muniasamy Anandhavalli,Bhatnagar Roheet,Karunakaran Gauthaman

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-51920-9_6

Reference28 articles.

1. V.J. Munster, M. Koopmans, N. van Doremalen, D. van Riel, E. de Wit, A novel coronavirus emerging in China—key questions for impact assessment. New England J. Med. (2020)

2. W.H. Organization, Novel coronavirus (2019-nCoV) situation reports, 2020

3. G. Chowell, F. Abdirizak, S. Lee et al., Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study. BMC Med. 13, 210 (2015). https://doi.org/10.1186/s12916-015-0450-0

4. B, Nithya, Study on predictive analytics practices in health care system. IJETTCS, 5 (2016)

5. D.R. Chowdhury, M. Chatterjee, R.K. Samanta, An artificial neural network model for neonatal disease diagnosis. Int. J. Artif. Intell. Expert Syst. (IJAE) 2(3), (2011)

Cited by 2 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. Explainable Artificial Intelligence in Quantifying Breast Cancer Factors: Saudi Arabia Context (Preprint);2023-06-03

2. COVID-19 prediction using machine learning based on the patient's vital signs: A case for Saudi Arabia;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04