XAI-HD: an explainable artificial intelligence framework for heart disease detection.
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| Title: | XAI-HD: an explainable artificial intelligence framework for heart disease detection. |
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| Authors: | Talukder, Md. Alamin1, alamin.cse@iubat.edu, Talaat, Amira Samy2, amtalat@yahoo.com, Kazi, Mohsin3, mkazi@ksu.edu.sa, Khraisat, Ansam4, ansam.khraisat@deakin.edu.au |
| Source: | Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-78, 78p |
| 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: 188747014 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=188747014 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-025-11385-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 78 StartPage: 1 Titles: – TitleFull: XAI-HD: an explainable artificial intelligence framework for heart disease detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Talukder, Md. Alamin – PersonEntity: Name: NameFull: Talaat, Amira Samy – PersonEntity: Name: NameFull: Kazi, Mohsin – PersonEntity: Name: NameFull: Khraisat, Ansam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 12 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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