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.
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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  Data: Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records.
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  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.
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  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.
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  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
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        Value: 10.1186/s12882-023-03269-0
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      – TitleFull: Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records.
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              Text: 2023 Aug 09
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