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(Rel. 1.22.1, 2019-04-17) Date: 2023-08-23 02:26:26 CEST RepresentationInformation: pmc_9439981.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-08-05 02:20:44 CEST Size: 1187383 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 283 FreeObjects: 4 IncrementalUpdates: 1 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: en-US Outlines: Item: Title: Machine Learning-Based Analysis in the Management of Iatrogenic Bile Duct Injury During Cholecystectomy: a Nationwide Multicen琀攀爀 匀琀甀搀礩㸾൥湤潢樍㈷㤠〠潢樍㰼⽄⠱ㄶ〵弲〲㉟㔳㤸彁牴楣汥⹩湤携䅮捨潲‱㨱 Children: Item: Title: Abstract Children: Item: Title: Background Item: Title: Methods Item: Title: Results Item: Title: Discussion Item: Title: Introduction Item: Title: Methods Children: Item: Title: Study Design Item: Title: Variable Selection Item: Title: Decision Tree and CCI-Based Risk Score Models Construction Item: Title: Validation and Quality Metrics Item: Title: Results Children: Item: Title: Decision-Making Model on the Success of the Initial Repair Item: Title: Risk-Scoring Model Based on the CCI Item: Title: Discussion Item: Title: Conclusion Item: Title: References Info: Title: Machine Learning-Based Analysis in the Management of Iatrogenic Bile Duct Injury During Cholecystectomy: a Nationwide Multicenter Study Author: Victor Lopez-Lopez Subject: Journal of Gastrointestinal Surgery, https://doi.org/10.1007/s11605-022-05398-7 Keywords: Iatrogenic bile duct injury;Cholecystectomy;Machine learning;Artificial neural network Creator: Adobe InDesign 15.0 (Windows) Producer: Acrobat Distiller 9.0.0 (Windows) CreationDate: Sat Jul 02 23:38:27 CEST 2022 ModDate: Wed Aug 03 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https://doi.org/10.1007/s11605-022-05398-7 Iatrogenic bile duct injury Cholecystectomy Machine learning Artificial neural network Machine Learning-Based Analysis in the Management of Iatrogenic Bile Duct Injury During Cholecystectomy: a Nationwide Multicenter Study Victor Lopez-Lopez Javier Maupoey Rafael López-Andujar Emilio Ramos Kristel Mils Pedro Antonio Martinez Andres Valdivieso Marina Garcés-Albir Luis Sabater Luis Díez Valladares Sergio Annese Pérez Benito Flores Roberto Brusadin Asunción López Conesa Valentin Cayuela Sagrario Martinez Cortijo Sandra Paterna Alejando Serrablo Santiago Sánchez-Cabús Antonio González Gil Jose Antonio González Masía Carmelo Loinaz Jose Luis Lucena Patricia Pastor Cristina Garcia-Zamora Alicia Calero Juan Valiente Antonio Minguillon Fernando Rotellar Jose Manuel Ramia Cándido Alcazar Javier Aguilo Jose Cutillas Christoph Kuemmerli Jose A. Ruiperez-Valiente Ricardo Robles-Campos 10.1007/s11605-022-05398-7 2010-04-23 true springer.com springerlink.com https://doi.org/10.1007/s11605-022-05398-7 10.1007/s11605-022-05398-7 1873-4626 journal Journal of Gastrointestinal Surgery The Author(s) 2010-04-23 true 10.1007/s11605-022-05398-7 noindex springer.com springerlink.com uuid:b348204c-0763-436a-83ad-ee7ae9186206 uuid:694f125b-6626-42de-b635-9a7f31fa93c3 default 1 converted uuid:b348204c-0763-436a-83ad-ee7ae9186206 converted to PDF/A-2b pdfToolbox 2022-07-02T21:47:20Z 2 B Victor Lopez-Lopez http://orcid.org/0000-0003-1718-3352 http://ns.adobe.com/pdfx/1.3/ pdfx Adobe Document Info PDF eXtension Schema external Mirrors crossmark:MajorVersionDate CrossmarkMajorVersionDate Text external Mirrors crossmark:CrossmarkDomainExclusive CrossmarkDomainExclusive Text internal Mirrors crossmark:DOI doi Text external Mirrors crossmark:CrosMarkDomains CrossMarkDomains seq Text internal A name object indicating whether the document has been modified to include trapping information robots Text internal ID of PDF/X standard GTS_PDFXVersion Text internal Conformance level of PDF/X standard GTS_PDFXConformance Text internal Company creating the PDF Company Text internal Date when document was last modified SourceModified Text http://crossref.org/crossmark/1.0/ crossmark Crossmark Schema internal Usual same as prism:doi DOI Text external The date when a publication was publishe. 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If used as a dc:identifier, the URI form should be captured, and the bare identifier should also be captured using prism:doi. If an alternate unique identifier is used as the required dc:identifier, then the DOI should be specified as a bare identifier within prism:doi only. If the URL associated with a DOI is to be specified, then prism:url may be used in conjunction with prism:doi in order to provide the service endpoint (i.e. the URL). doi Text external ISSN for an electronic version of the issue in which the resource occurs. Permits publishers to include a second ISSN, identifying an electronic version of the issue in which the resource occurs (therefore e(lectronic)Issn. 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Typically this will be used to provide the name of the magazine an article appeared in as metadata for the article, along with information such as the article title, the publisher, volume, number, and cover date. Note: Publication name can be used to differentiate between a print magazine and the online version if the names are different such as “magazine” and “magazine.com.” publicationName Text external Copyright copyright Text http://ns.adobe.com/pdf/1.3/ pdf Adobe PDF Schema internal A name object indicating whether the document has been modified to include trapping information Trapped Text http://ns.adobe.com/xap/1.0/mm/ xmpMM XMP Media Management Schema internal UUID based identifier for specific incarnation of a document InstanceID URI internal The common identifier for all versions and renditions of a document. DocumentID URI internal The common identifier for all versions and renditions of a document. 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