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