Investigating the Various Methods for Predicting Drug–Drug Interactions Based on Machine Learning Model.
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| Title: | Investigating the Various Methods for Predicting Drug–Drug Interactions Based on Machine Learning Model. |
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| Authors: | Arunkumar, M.1 arunk145@gmail.com, Baskaran, T. S.2 t_s_baskaran@yahoo.com |
| Source: | International Scientific Journal of Engineering & Management. Jul2025, Vol. 4 Issue 7, p1-5. 5p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 187374003 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigating the Various Methods for Predicting Drug–Drug Interactions Based on Machine Learning Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Arunkumar%2C+M%2E%22">Arunkumar, M.</searchLink><relatesTo>1</relatesTo><i> arunk145@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Baskaran%2C+T%2E+S%2E%22">Baskaran, T. S.</searchLink><relatesTo>2</relatesTo><i> t_s_baskaran@yahoo.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Scientific+Journal+of+Engineering+%26+Management%22">International Scientific Journal of Engineering & Management</searchLink>. Jul2025, Vol. 4 Issue 7, p1-5. 5p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=187374003 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.55041/ISJEM04892 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1 Titles: – TitleFull: Investigating the Various Methods for Predicting Drug–Drug Interactions Based on Machine Learning Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Arunkumar, M. – PersonEntity: Name: NameFull: Baskaran, T. S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 25836129 Numbering: – Type: volume Value: 4 – Type: issue Value: 7 Titles: – TitleFull: International Scientific Journal of Engineering & Management Type: main |
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