Enhancing fairness in breast cancer recurrence prediction through temporal machine learning models.
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| Title: | Enhancing fairness in breast cancer recurrence prediction through temporal machine learning models. |
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| Authors: | Sundus, Katrina I.1, Hammo, Bassam H.1,2, b.hammo@ju.edu.jo, Al-Zoubi, Mohammad B.1 |
| Source: | Neural Computing & Applications; Dec2024, Vol. 36 Issue 36, p22697-22718, 22p |
| 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: 181132774 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=181132774 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-024-10407-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 22697 Titles: – TitleFull: Enhancing fairness in breast cancer recurrence prediction through temporal machine learning models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sundus, Katrina I. – PersonEntity: Name: NameFull: Hammo, Bassam H. – PersonEntity: Name: NameFull: Al-Zoubi, Mohammad B. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 36 – Type: issue Value: 36 Titles: – TitleFull: Neural Computing & Applications Type: main |
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