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

Purpose In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the individual patient level as accurately as possible...

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Bibliografische gegevens

Hoofdauteurs:	Caroline Landelle, Ursula von Schenck, Jean-Luc Bosson, Christophe Cancé, Svetlana Artemova, Rui Fa, Daniel Stoessel, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Jean-Marie Januel, Daniel Pagonis, Meghann Gallouche, Frederic Olive, Alexandre Moreau-Gaudry, Sigurd Prieur
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMJ Publishing Group 2023-08-01
Reeks:	BMJ Open
Online toegang:	https://bmjopen.bmj.com/content/13/8/e070929.full
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