Machine learning applications in the diagnosis of leukemia: Current trends and future directions.
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| Title: | Machine learning applications in the diagnosis of leukemia: Current trends and future directions. |
|---|---|
| Authors: | Salah, Haneen T.1, Muhsen, Ibrahim N.2, Salama, Mohamed E.3, Owaidah, Tarek4, Hashmi, Shahrukh K.5,6 hashmi.shahrukh@mayo.edu |
| Source: | International Journal of Laboratory Hematology. Dec2019, Vol. 41 Issue 6, p717-725. 9p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 139686554 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=asn&AN=139686554 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/ijlh.13089 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 717 Titles: – TitleFull: Machine learning applications in the diagnosis of leukemia: Current trends and future directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Salah, Haneen T. – PersonEntity: Name: NameFull: Muhsen, Ibrahim N. – PersonEntity: Name: NameFull: Salama, Mohamed E. – PersonEntity: Name: NameFull: Owaidah, Tarek – PersonEntity: Name: NameFull: Hashmi, Shahrukh K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 17515521 Numbering: – Type: volume Value: 41 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Laboratory Hematology Type: main |
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