View in EDS

Quantum machine learning for predicting anastomotic leak: a clinical study.

Saved in:
Bibliographic Details
Title: Quantum machine learning for predicting anastomotic leak: a clinical study.
Authors: Novák V; Department of Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic. vojtech.novak.st1@vsb.cz.; IT4Innovations National Supercomputing Center, Ostrava, Czech Republic. vojtech.novak.st1@vsb.cz., Zelinka I; Department of Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.; IT4Innovations National Supercomputing Center, Ostrava, Czech Republic., Přibylová L; Department of Applied Mathematics, Technical University of Ostrava, Ostrava, Czech Republic., Martínek L; Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.; Department of Surgery, University Hospital Ostrava, Ostrava, Czech Republic., Benčurik V; Surgical Department, Hospital AGEL Novy Jicin, Novy Jicin, Czech Republic.
Source: Scientific reports [Sci Rep] 2026 May 19; Vol. 16 (1). Date of Electronic Publication: 2026 May 19.
Publication Type: Clinical Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42156417
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantum machine learning for predicting anastomotic leak: a clinical study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Novák+V%22">Novák V</searchLink>; Department of Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic. vojtech.novak.st1@vsb.cz.; IT4Innovations National Supercomputing Center, Ostrava, Czech Republic. vojtech.novak.st1@vsb.cz.<br /><searchLink fieldCode="AU" term="%22Zelinka+I%22">Zelinka I</searchLink>; Department of Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.; IT4Innovations National Supercomputing Center, Ostrava, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Přibylová+L%22">Přibylová L</searchLink>; Department of Applied Mathematics, Technical University of Ostrava, Ostrava, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Martínek+L%22">Martínek L</searchLink>; Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.; Department of Surgery, University Hospital Ostrava, Ostrava, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Benčurik+V%22">Benčurik V</searchLink>; Surgical Department, Hospital AGEL Novy Jicin, Novy Jicin, Czech Republic.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 May 19; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 May 19.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Clinical Study; Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42156417
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-026-44402-x
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Quantum machine learning for predicting anastomotic leak: a clinical study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Novák V
      – PersonEntity:
          Name:
            NameFull: Zelinka I
      – PersonEntity:
          Name:
            NameFull: Přibylová L
      – PersonEntity:
          Name:
            NameFull: Martínek L
      – PersonEntity:
          Name:
            NameFull: Benčurik V
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 19
              M: 05
              Text: 2026 May 19
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1