Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.
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| Title: | Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes. |
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| Authors: | Kou, Kou1,2 (AUTHOR), Cameron, Jessica1,3,4 (AUTHOR), Dasgupta, Paramita1 (AUTHOR), Chen, Hao5 (AUTHOR), Baade, Peter D.1,4 (AUTHOR) peter.baade@qut.edu.au |
| Source: | PLoS ONE. 2/20/2026, Vol. 21 Issue 2, p1-14. 14p. |
| 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: 191774319 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0319539 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kou, Kou – PersonEntity: Name: NameFull: Cameron, Jessica – PersonEntity: Name: NameFull: Dasgupta, Paramita – PersonEntity: Name: NameFull: Chen, Hao – PersonEntity: Name: NameFull: Baade, Peter D. IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 02 Text: 2/20/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 21 – Type: issue Value: 2 Titles: – TitleFull: PLoS ONE Type: main |
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