Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records.
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| Title: | Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records. |
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| Authors: | Bolt H; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Hikaru.bolt@lshtm.ac.uk., Suffel A; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK., Matthewman J; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK., Sandmann F; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.; European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden., Tomlinson L; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK., Eggo R; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. |
| Source: | BMC nephrology [BMC Nephrol] 2023 Aug 09; Vol. 24 (1), pp. 234. Date of Electronic Publication: 2023 Aug 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967793 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2369 (Electronic) Linking ISSN: 14712369 NLM ISO Abbreviation: BMC Nephrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37558976 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bolt+H%22">Bolt H</searchLink>; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Hikaru.bolt@lshtm.ac.uk.<br /><searchLink fieldCode="AU" term="%22Suffel+A%22">Suffel A</searchLink>; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.<br /><searchLink fieldCode="AU" term="%22Matthewman+J%22">Matthewman J</searchLink>; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.<br /><searchLink fieldCode="AU" term="%22Sandmann+F%22">Sandmann F</searchLink>; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.; European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Tomlinson+L%22">Tomlinson L</searchLink>; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.<br /><searchLink fieldCode="AU" term="%22Eggo+R%22">Eggo R</searchLink>; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100967793%22">BMC nephrology</searchLink> [BMC Nephrol] 2023 Aug 09; Vol. 24 (1), pp. 234. <i>Date of Electronic Publication: </i>2023 Aug 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – 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>100967793 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2369 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712369%22">14712369 </searchLink><i>NLM ISO Abbreviation: </i>BMC Nephrol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37558976 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12882-023-03269-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 234 Titles: – TitleFull: Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bolt H – PersonEntity: Name: NameFull: Suffel A – PersonEntity: Name: NameFull: Matthewman J – PersonEntity: Name: NameFull: Sandmann F – PersonEntity: Name: NameFull: Tomlinson L – PersonEntity: Name: NameFull: Eggo R IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 08 Text: 2023 Aug 09 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1471-2369 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: BMC nephrology Type: main |
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