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Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016-2018.
Artemova, Svetlana; von Schenck, Ursula; Fa, Rui; Stoessel, Daniel; Nowparast Rostami, Hadiseh; Madiot, Pierre-Ephrem; Januel, Jean-Marie; Pagonis, Daniel; Landelle, Caroline; Gallouche, Meghann; Cancé, Christophe; Olive, Frederic; Moreau-Gaudry, Alexandre; Prieur, Sigurd; Bosson, Jean-Luc.
Afiliação
  • Artemova S; Public Health Department, INSERM CIC1406, CHU Grenoble Alpes, Grenoble, France.
  • von Schenck U; TIMC, CNRS UMR5525, Université Grenoble Alpes, Grenoble, France.
  • Fa R; Life Science Analytics, Elsevier BV, Berlin, Germany.
  • Stoessel D; Elsevier Health Analytics, London, UK.
  • Nowparast Rostami H; Life Science Analytics, Elsevier BV, Berlin, Germany.
  • Madiot PE; Life Science Analytics, Elsevier BV, Berlin, Germany.
  • Januel JM; Digital Services Management, CHU Grenoble Alpes, Grenoble, France.
  • Pagonis D; TIMC, CNRS UMR5525, Université Grenoble Alpes, Grenoble, France.
  • Landelle C; Public Health Department, CHU Grenoble Alpes, Grenoble, France.
  • Gallouche M; TIMC, CNRS UMR5525, Université Grenoble Alpes, Grenoble, France.
  • Cancé C; Public Health Department, CHU Grenoble Alpes, Grenoble, France.
  • Olive F; TIMC, CNRS UMR5525, Université Grenoble Alpes, Grenoble, France.
  • Moreau-Gaudry A; Public Health Department, CHU Grenoble Alpes, Grenoble, France.
  • Prieur S; Public Health Department, INSERM CIC1406, CHU Grenoble Alpes, Grenoble, France.
  • Bosson JL; TIMC, CNRS UMR5525, Université Grenoble Alpes, Grenoble, France.
BMJ Open ; 13(8): e070929, 2023 08 17.
Article em En | MEDLINE | ID: mdl-37591641
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male 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 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article