Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes.
Saved in:
| Title: | Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes. |
|---|---|
| Authors: | Lieverse JE; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands., Yasrebi-de Kom IAR; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands., Maarsingh OR; Amsterdam Public Health Institute, Amsterdam, the Netherlands.; Department of General Practice, Amsterdam University Medical Centre, Amsterdam, the Netherlands., Overbeek JA; Amsterdam Public Health Institute, Amsterdam, the Netherlands.; Department of General Practice, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands., Cornet R; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands., Klopotowska JE; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands. |
| Corporate Authors: | LEAPfROG Consortium |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1143-1147. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42175050 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lieverse+JE%22">Lieverse JE</searchLink>; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Yasrebi-de+Kom+IAR%22">Yasrebi-de Kom IAR</searchLink>; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Maarsingh+OR%22">Maarsingh OR</searchLink>; Amsterdam Public Health Institute, Amsterdam, the Netherlands.; Department of General Practice, Amsterdam University Medical Centre, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Overbeek+JA%22">Overbeek JA</searchLink>; Amsterdam Public Health Institute, Amsterdam, the Netherlands.; Department of General Practice, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Cornet+R%22">Cornet R</searchLink>; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Klopotowska+JE%22">Klopotowska JE</searchLink>; Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, the Netherlands.; Amsterdam Public Health Institute, Amsterdam, the Netherlands. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22LEAPfROG+Consortium%22">LEAPfROG Consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1143-1147. – 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="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42175050 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI260377 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1143 Titles: – TitleFull: Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lieverse JE – PersonEntity: Name: NameFull: Yasrebi-de Kom IAR – PersonEntity: Name: NameFull: Maarsingh OR – PersonEntity: Name: NameFull: Overbeek JA – PersonEntity: Name: NameFull: Cornet R – PersonEntity: Name: NameFull: Klopotowska JE IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 05 Text: 2026 May 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 336 Titles: – TitleFull: Studies in health technology and informatics Type: main |
| ResultId | 1 |