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  1. Analysis of the use of multiple technologies in neonatal care.

    Article - En anglais

    The use of 53 different technologies was studied in 82 patients in a neonatal intensive care unit.

    Using a coefficient of similarity based on the utilization pattern of these technologies, it was possible to identify five clusters of patients that can be correlated with the primary diagnostic groups and such other variables as birth weight (BW), gestational age, length of stay (LOS), and weight gain.

    Four interdependent models were identified by multiple regression analysis.

    Mots-clés Pascal : Homme, Amérique du Sud, Amérique, Unité soin intensif, Nouveau né, Equipement biomédical, Diagnostic, Modèle, Analyse amas, Analyse régression, Utilisation, Economie santé, Génie biomédical, Réanimation, Brésil

    Mots-clés Pascal anglais : Human, South America, America, Intensive care unit, Newborn, Biomedical equipment, Diagnosis, Models, Cluster analysis, Regression analysis, Use, Health economy, Biomedical engineering, Resuscitation, Brazil

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 91-0437376

    Code Inist : 002B30E. Création : 199406.