View in EDS HTML Full Text PDF Full Text

MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.

Saved in:
Bibliographic Details
Title: MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.
Authors: Lilli L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy., Santoro M; Istituto per le Applicazioni del Calcolo 'Mauro Picone', Italian National Research Council, Rome, Italy., Masiello V; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Patarnello S; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. stefano.patarnello@gemelligenerator.it., Tagliaferri L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy., Marazzi F; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Capocchiano ND; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Apr 10; Vol. 25 (1), pp. 160. Date of Electronic Publication: 2025 Apr 10.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40211241
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Lilli+L%22">Lilli L</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Santoro+M%22">Santoro M</searchLink>; Istituto per le Applicazioni del Calcolo 'Mauro Picone', Italian National Research Council, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Masiello+V%22">Masiello V</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Patarnello+S%22">Patarnello S</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. stefano.patarnello@gemelligenerator.it.<br /><searchLink fieldCode="AU" term="%22Tagliaferri+L%22">Tagliaferri L</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Marazzi+F%22">Marazzi F</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Capocchiano+ND%22">Capocchiano ND</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101088682%22">BMC medical informatics and decision making</searchLink> [BMC Med Inform Decis Mak] 2025 Apr 10; Vol. 25 (1), pp. 160. <i>Date of Electronic Publication: </i>2025 Apr 10.
– 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="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40211241
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s12911-025-02994-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 160
    Titles:
      – TitleFull: MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lilli L
      – PersonEntity:
          Name:
            NameFull: Santoro M
      – PersonEntity:
          Name:
            NameFull: Masiello V
      – PersonEntity:
          Name:
            NameFull: Patarnello S
      – PersonEntity:
          Name:
            NameFull: Tagliaferri L
      – PersonEntity:
          Name:
            NameFull: Marazzi F
      – PersonEntity:
          Name:
            NameFull: Capocchiano ND
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 10
              M: 04
              Text: 2025 Apr 10
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1472-6947
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BMC medical informatics and decision making
              Type: main
ResultId 1