A study on the effectiveness of machine learning models for hepatitis prediction.
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| Title: | A study on the effectiveness of machine learning models for hepatitis prediction. |
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| Authors: | Khatun, Popy1 (AUTHOR), Umam, Shafeel2 (AUTHOR), Razzak, Rubaiya Binte2 (AUTHOR), Shamsuddin, Iffat Binta1 (AUTHOR), Salma, Nahid1 (AUTHOR) nahidsalma@juniv.edu |
| Source: | Scientific Reports. 8/20/2025, Vol. 15 Issue 1, p1-16. 16p. |
| 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: 187458443 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=187458443 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-07104-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: A study on the effectiveness of machine learning models for hepatitis prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khatun, Popy – PersonEntity: Name: NameFull: Umam, Shafeel – PersonEntity: Name: NameFull: Razzak, Rubaiya Binte – PersonEntity: Name: NameFull: Shamsuddin, Iffat Binta – PersonEntity: Name: NameFull: Salma, Nahid IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 08 Text: 8/20/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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