Interpretable machine learning for personalized breast cancer screening recommendations.
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| Title: | Interpretable machine learning for personalized breast cancer screening recommendations. |
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| Authors: | Berry S; Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada., Görgülü B; DeGroote School of Business, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4M4, Canada. gorgulub@mcmaster.ca., Tunc S; Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 1145 Perry Street, Blacksburg, VA, 24061, USA., Cevik M; Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada. |
| Source: | Health care management science [Health Care Manag Sci] 2026 Feb 04; Vol. 29 (1), pp. 4. Date of Electronic Publication: 2026 Feb 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Baltzer Science Publishers Country of Publication: Netherlands NLM ID: 9815649 Publication Model: Electronic Cited Medium: Internet ISSN: 1572-9389 (Electronic) Linking ISSN: 13869620 NLM ISO Abbreviation: Health Care Manag Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41636932 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Interpretable machine learning for personalized breast cancer screening recommendations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Berry+S%22">Berry S</searchLink>; Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada.<br /><searchLink fieldCode="AU" term="%22Görgülü+B%22">Görgülü B</searchLink>; DeGroote School of Business, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4M4, Canada. gorgulub@mcmaster.ca.<br /><searchLink fieldCode="AU" term="%22Tunc+S%22">Tunc S</searchLink>; Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 1145 Perry Street, Blacksburg, VA, 24061, USA.<br /><searchLink fieldCode="AU" term="%22Cevik+M%22">Cevik M</searchLink>; Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229815649%22">Health care management science</searchLink> [Health Care Manag Sci] 2026 Feb 04; Vol. 29 (1), pp. 4. <i>Date of Electronic Publication: </i>2026 Feb 04. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Baltzer+Science+Publishers%22">Baltzer Science Publishers </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9815649 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1572-9389 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213869620%22">13869620 </searchLink><i>NLM ISO Abbreviation: </i>Health Care Manag Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41636932 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10729-025-09746-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 4 Titles: – TitleFull: Interpretable machine learning for personalized breast cancer screening recommendations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Berry S – PersonEntity: Name: NameFull: Görgülü B – PersonEntity: Name: NameFull: Tunc S – PersonEntity: Name: NameFull: Cevik M IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 02 Text: 2026 Feb 04 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1572-9389 Numbering: – Type: volume Value: 29 – Type: issue Value: 1 Titles: – TitleFull: Health care management science Type: main |
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