Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.
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| Title: | Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment. |
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| Authors: | Gangadhar A; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada., Hasjim BJ; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Department of Surgery, University of California - Irvine, Orange, California, USA., Zhao X; McGill University Health Center, Montreal, Quebec, Canada., Sun Y; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada., Chon J; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada., Sidhu A; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada., Jaeckel E; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada., Selzner N; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada., Cattral MS; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada., Sayed BA; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada., Brudno M; Department of Computer Science, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada; Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada., McIntosh C; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada; Department of Computer Science, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Peter Munk Cardiac Center and Ted Rogers Centre for Heart Research, University Health Network, Toronto, ON, Canada., Bhat M; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada; Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada. Electronic address: Mamatha.Bhat@uhn.ca. |
| Source: | Journal of hepatology [J Hepatol] 2025 Nov; Vol. 83 (5), pp. 1116-1127. Date of Electronic Publication: 2025 May 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8503886 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1600-0641 (Electronic) Linking ISSN: 01688278 NLM ISO Abbreviation: J Hepatol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40446930 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gangadhar+A%22">Gangadhar A</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Hasjim+BJ%22">Hasjim BJ</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Department of Surgery, University of California - Irvine, Orange, California, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+X%22">Zhao X</searchLink>; McGill University Health Center, Montreal, Quebec, Canada.<br /><searchLink fieldCode="AU" term="%22Sun+Y%22">Sun Y</searchLink>; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Chon+J%22">Chon J</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Sidhu+A%22">Sidhu A</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Jaeckel+E%22">Jaeckel E</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Selzner+N%22">Selzner N</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Cattral+MS%22">Cattral MS</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Sayed+BA%22">Sayed BA</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Brudno+M%22">Brudno M</searchLink>; Department of Computer Science, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada; Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22McIntosh+C%22">McIntosh C</searchLink>; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada; Department of Computer Science, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Peter Munk Cardiac Center and Ted Rogers Centre for Heart Research, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Bhat+M%22">Bhat M</searchLink>; Transplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, ON, Canada; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada; Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada. Electronic address: Mamatha.Bhat@uhn.ca. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228503886%22">Journal of hepatology</searchLink> [J Hepatol] 2025 Nov; Vol. 83 (5), pp. 1116-1127. <i>Date of Electronic Publication: </i>2025 May 28. – 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8503886 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1600-0641 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201688278%22">01688278 </searchLink><i>NLM ISO Abbreviation: </i>J Hepatol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40446930 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jhep.2025.04.040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1116 Titles: – TitleFull: Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gangadhar A – PersonEntity: Name: NameFull: Hasjim BJ – PersonEntity: Name: NameFull: Zhao X – PersonEntity: Name: NameFull: Sun Y – PersonEntity: Name: NameFull: Chon J – PersonEntity: Name: NameFull: Sidhu A – PersonEntity: Name: NameFull: Jaeckel E – PersonEntity: Name: NameFull: Selzner N – PersonEntity: Name: NameFull: Cattral MS – PersonEntity: Name: NameFull: Sayed BA – PersonEntity: Name: NameFull: Brudno M – PersonEntity: Name: NameFull: McIntosh C – PersonEntity: Name: NameFull: Bhat M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Nov Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1600-0641 Numbering: – Type: volume Value: 83 – Type: issue Value: 5 Titles: – TitleFull: Journal of hepatology Type: main |
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