Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.
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| Title: | Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. |
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| Authors: | Perwitasari, Dyah Aryani1,2 (AUTHOR) dyah.perwitasari@pharm.uad.ac.id, Faridah, Imaniar Noor1,2 (AUTHOR), Dania, Haafizah1,2 (AUTHOR), Setiawan, Didik3 (AUTHOR), Safaria, Triantoro4 (AUTHOR) |
| Source: | PLoS ONE. 1/24/2025, Vol. 20 Issue 1, p1-10. 10p. |
| 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: 182433410 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Perwitasari%2C+Dyah+Aryani%22">Perwitasari, Dyah Aryani</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> dyah.perwitasari@pharm.uad.ac.id</i><br /><searchLink fieldCode="AR" term="%22Faridah%2C+Imaniar+Noor%22">Faridah, Imaniar Noor</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dania%2C+Haafizah%22">Dania, Haafizah</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Setiawan%2C+Didik%22">Setiawan, Didik</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Safaria%2C+Triantoro%22">Safaria, Triantoro</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 1/24/2025, Vol. 20 Issue 1, p1-10. 10p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182433410 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0315912 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Perwitasari, Dyah Aryani – PersonEntity: Name: NameFull: Faridah, Imaniar Noor – PersonEntity: Name: NameFull: Dania, Haafizah – PersonEntity: Name: NameFull: Setiawan, Didik – PersonEntity: Name: NameFull: Safaria, Triantoro IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 01 Text: 1/24/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: PLoS ONE Type: main |
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