Interpretable Multimodal AI for Hormonal Risk Prediction from Biosignals and Biometric Inputs.
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| Title: | Interpretable Multimodal AI for Hormonal Risk Prediction from Biosignals and Biometric Inputs. |
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| Authors: | S., Niranjana Devi1, niranjanadevi22@karunya.edu.in, G., Srinithya1, srinitya@karunya.edu |
| Source: | Grenze International Journal of Engineering & Technology (GIJET); Jan2026, Vol. 12 Issue Part2, p3395-3402, 8p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192273056 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=192273056 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 3395 Titles: – TitleFull: Interpretable Multimodal AI for Hormonal Risk Prediction from Biosignals and Biometric Inputs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: S., Niranjana Devi – PersonEntity: Name: NameFull: G., Srinithya IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23955287 Numbering: – Type: volume Value: 12 – Type: issue Value: Part2 Titles: – TitleFull: Grenze International Journal of Engineering & Technology (GIJET) Type: main |
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