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Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals.
Dashtban, Ashkan; Mizani, Mehrdad A; Pasea, Laura; Denaxas, Spiros; Corbett, Richard; Mamza, Jil B; Gao, He; Morris, Tamsin; Hemingway, Harry; Banerjee, Amitava.
Afiliação
  • Dashtban A; Institute of Health Informatics, University College London, London, UK.
  • Mizani MA; Institute of Health Informatics, University College London, London, UK; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
  • Pasea L; Institute of Health Informatics, University College London, London, UK.
  • Denaxas S; Institute of Health Informatics, University College London, London, UK.
  • Corbett R; Imperial College Healthcare NHS Trust, London, UK.
  • Mamza JB; Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK.
  • Gao H; Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK.
  • Morris T; Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, London, UK.
  • Hemingway H; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK.
  • Banerjee A; Institute of Health Informatics, University College London, London, UK; Barts Health NHS Trust, London, UK; University College London Hospitals NHS Trust, London, UK. Electronic address: ami.banerjee@ucl.ac.uk.
EBioMedicine ; 89: 104489, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36857859
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Insuficiência Renal Crônica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Insuficiência Renal Crônica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article