Interpretable machine learning for predicting isolated basal septal hypertrophy.
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| Title: | Interpretable machine learning for predicting isolated basal septal hypertrophy. |
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| Authors: | Gao, Lei1 (AUTHOR), Tian, Boyan2 (AUTHOR), Jia, Qiqi2 (AUTHOR), He, Xingyu3 (AUTHOR), Zhao, Guannan1 (AUTHOR), Wang, Yueheng2 (AUTHOR) 26500167@hebmed.edu.cn |
| Source: | PLoS ONE. 6/30/2025, Vol. 20 Issue 6, p1-15. 15p. |
| 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: 186280931 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=asn&AN=186280931 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0325992 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Interpretable machine learning for predicting isolated basal septal hypertrophy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gao, Lei – PersonEntity: Name: NameFull: Tian, Boyan – PersonEntity: Name: NameFull: Jia, Qiqi – PersonEntity: Name: NameFull: He, Xingyu – PersonEntity: Name: NameFull: Zhao, Guannan – PersonEntity: Name: NameFull: Wang, Yueheng IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 06 Text: 6/30/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
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