Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.

Saved in:
Bibliographic Details
Title: Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.
Authors: Master SR; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Badrick TC; Royal College of Pathologists of Australasia Quality Assurance Programs, Sydney, Australia., Bietenbeck A; MVZ Ärztliche Laboratorien München-Land GmbH, Poing, Germany., Haymond S; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States.; Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Source: Clinical chemistry [Clin Chem] 2023 Jul 05; Vol. 69 (7), pp. 690-698.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9421549 Publication Model: Print Cited Medium: Internet ISSN: 1530-8561 (Electronic) Linking ISSN: 00099147 NLM ISO Abbreviation: Clin Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 37252943
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Master+SR%22">Master SR</searchLink>; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.<br /><searchLink fieldCode="AU" term="%22Badrick+TC%22">Badrick TC</searchLink>; Royal College of Pathologists of Australasia Quality Assurance Programs, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Bietenbeck+A%22">Bietenbeck A</searchLink>; MVZ Ärztliche Laboratorien München-Land GmbH, Poing, Germany.<br /><searchLink fieldCode="AU" term="%22Haymond+S%22">Haymond S</searchLink>; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States.; Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229421549%22">Clinical chemistry</searchLink> [Clin Chem] 2023 Jul 05; Vol. 69 (7), pp. 690-698.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9421549 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1530-8561 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200099147%22">00099147 </searchLink><i>NLM ISO Abbreviation: </i>Clin Chem <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37252943
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/clinchem/hvad055
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 690
    Titles:
      – TitleFull: Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Master SR
      – PersonEntity:
          Name:
            NameFull: Badrick TC
      – PersonEntity:
          Name:
            NameFull: Bietenbeck A
      – PersonEntity:
          Name:
            NameFull: Haymond S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 05
              M: 07
              Text: 2023 Jul 05
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1530-8561
          Numbering:
            – Type: volume
              Value: 69
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Clinical chemistry
              Type: main
ResultId 1