Entropy Guided Benchmarking of Classical and Generative Imputation Methods for High-Dimensional Healthcare Survey Data †.
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| Title: | Entropy Guided Benchmarking of Classical and Generative Imputation Methods for High-Dimensional Healthcare Survey Data †. |
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| Authors: | Fernandes Prabhu, Deepa1, deepa.fernandesprabhu@ucf.edu, Park, Jaeyoung2, Gurupur, Varadraj P.1,2 |
| Source: | Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4262, 34p |
| 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: 193716604 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=193716604 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16094262 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 4262 Titles: – TitleFull: Entropy Guided Benchmarking of Classical and Generative Imputation Methods for High-Dimensional Healthcare Survey Data †. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fernandes Prabhu, Deepa – PersonEntity: Name: NameFull: Park, Jaeyoung – PersonEntity: Name: NameFull: Gurupur, Varadraj P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 9 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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