Survival analysis of breast cancer patients using machine learning models.
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| Title: | Survival analysis of breast cancer patients using machine learning models. |
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| Authors: | Evangeline I., Keren1, Kirubha, S. P. Angeline1, kirubhaangeline@gmail.com, Precious, J. Glory2 |
| Source: | Multimedia Tools & Applications; Aug2023, Vol. 82 Issue 20, p30909-30928, 20p |
| 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: 167307545 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=167307545 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-14989-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 30909 Titles: – TitleFull: Survival analysis of breast cancer patients using machine learning models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Evangeline I., Keren – PersonEntity: Name: NameFull: Kirubha, S. P. Angeline – PersonEntity: Name: NameFull: Precious, J. Glory IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 82 – Type: issue Value: 20 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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