A novel approach on heart disease prediction using optimized hybrid deep learning approach.
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| Title: | A novel approach on heart disease prediction using optimized hybrid deep learning approach. |
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| Authors: | C., Adline Sherifa1, adlinesherifa@gmail.com, Kanisha, B.1, kanishab@srmist.edu.in |
| Source: | Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 30, p37461-37486, 26p |
| 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: 187974115 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A novel approach on heart disease prediction using optimized hybrid deep learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22C%2E%2C+Adline+Sherifa%22">C., Adline Sherifa</searchLink><relatesTo>1</relatesTo>, <i>adlinesherifa@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kanisha%2C+B%2E%22">Kanisha, B.</searchLink><relatesTo>1</relatesTo>, <i>kanishab@srmist.edu.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Sep2025, Vol. 84 Issue 30, p37461-37486, 26p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187974115 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-025-20660-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 37461 Titles: – TitleFull: A novel approach on heart disease prediction using optimized hybrid deep learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: C., Adline Sherifa – PersonEntity: Name: NameFull: Kanisha, B. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 30 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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