Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches.
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| Title: | Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches. |
|---|---|
| Authors: | Alyasseri, Zaid Abdi Alkareem1,2, zaid.alyasseri@uokufa.edu.iq, Al‐Betar, Mohammed Azmi3,4, Doush, Iyad Abu5,6, Awadallah, Mohammed A.3,7, Abasi, Ammar Kamal3,8, Makhadmeh, Sharif Naser3,9, Alomari, Osama Ahmad10, Abdulkareem, Karrar Hameed11, Adam, Afzan1, Damasevicius, Robertas12, Mohammed, Mazin Abed13, Zitar, Raed Abu14 |
| Source: | Expert Systems; Mar2022, Vol. 39 Issue 3, p1-32, 32p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 155435355 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155435355 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/exsy.12759 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 1 Titles: – TitleFull: Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alyasseri, Zaid Abdi Alkareem – PersonEntity: Name: NameFull: Al‐Betar, Mohammed Azmi – PersonEntity: Name: NameFull: Doush, Iyad Abu – PersonEntity: Name: NameFull: Awadallah, Mohammed A. – PersonEntity: Name: NameFull: Abasi, Ammar Kamal – PersonEntity: Name: NameFull: Makhadmeh, Sharif Naser – PersonEntity: Name: NameFull: Alomari, Osama Ahmad – PersonEntity: Name: NameFull: Abdulkareem, Karrar Hameed – PersonEntity: Name: NameFull: Adam, Afzan – PersonEntity: Name: NameFull: Damasevicius, Robertas – PersonEntity: Name: NameFull: Mohammed, Mazin Abed – PersonEntity: Name: NameFull: Zitar, Raed Abu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 02664720 Numbering: – Type: volume Value: 39 – Type: issue Value: 3 Titles: – TitleFull: Expert Systems Type: main |
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