Clinical and biological clusters of sepsis patients using hierarchical clustering.

Clinical and biological clusters of sepsis patients using hierarchical clustering.

<h4>Background</h4>Heterogeneity in sepsis expression is multidimensional, including highly disparate data such as the underlying disorders, infection source, causative micro-organismsand organ failures. The aim of the study is to identify clusters of patients based on clinical and biolo...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Grégory Papin, Sébastien Bailly, Claire Dupuis, Stéphane Ruckly, Marc Gainnier, Laurent Argaud, Elie Azoulay, Christophe Adrie, Bertrand Souweine, Dany Goldgran-Toledano, Guillaume Marcotte, Antoine Gros, Jean Reignier, Bruno Mourvillier, Jean-Marie Forel, Romain Sonneville, Anne-Sylvie Dumenil, Michael Darmon, Maité Garrouste-Orgeas, Carole Schwebel, Jean-François Timsit, OUTCOMEREA study group
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/c8ddec62c3b44ff7a9a8d0e7e6c459c9
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/c8ddec62c3b44ff7a9a8d0e7e6c459c9

Documents similaires