Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review.
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic hugely affected countries worldwide raising the need to exploit novel, alternative and emerging technologies to respond to the eme...
| Publicado en: | Artificial Intelligence in Medicine Vol. 128 |
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| Autores principales: | , |
| Formato: | review Journal Article |
| Publicado: |
Elsevier B.V.
Jun2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156731736&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156731736 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09333657 3HY jtl: Artificial Intelligence in Medicine issn: 09333657 maglogo: N pubinfo: dt: Jun2022 vid: 128 pid: 1004 pub: Elsevier B.V. artinfo: ui: 156731736 156731736 NLM35534142 156731736 10.1016/j.artmed.2022.102286 NLM35534142 156731736 ppct: 1 formats: tig: atl: Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review. aug: au: Comito, Carmela Pizzuti, Clara affil: National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Rende, Italy sug: ab: The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic hugely affected countries worldwide raising the need to exploit novel, alternative and emerging technologies to respond to the emergency created by the weak health-care systems. In this context, Artificial Intelligence (AI) techniques can give a valid support to public health authorities, complementing traditional approaches with advanced tools. This study provides a comprehensive review of methods, algorithms, applications, and emerging AI technologies that can be utilized for forecasting and diagnosing COVID-19. The main objectives of this review are summarized as follows. (i) Understanding the importance of AI approaches such as machine learning and deep learning for COVID-19 pandemic; (ii) discussing the efficiency and impact of these methods for COVID-19 forecasting and diagnosing; (iii) providing an extensive background description of AI techniques to help non-expert to better catch the underlying concepts; (iv) for each work surveyed, give a detailed analysis of the rationale behind the approach, highlighting the method used, the type and size of data analyzed, the validation method, the target application and the results achieved; (v) focusing on some future challenges in COVID-19 forecasting and diagnosing. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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