Jean-Roger Le Gall

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OBJECTIVE To develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data. DESIGN Prospective multicentre, multinational cohort study. PATIENTS AND SETTING A total of 16,784 patients consecutively admitted to 303 intensive care units from 14 October to 15 December 2002. MEASUREMENTS AND(More)
OBJECTIVE Risk adjustment systems now in use were developed more than a decade ago and lack prognostic performance. Objective of the SAPS 3 study was to collect data about risk factors and outcomes in a heterogeneous cohort of intensive care unit (ICU) patients, in order to develop a new, improved model for risk adjustment. DESIGN Prospective multicentre,(More)
OBJECTIVE The purpose of this paper is to investigate the suitability of boosted decision trees for the case-mix adjustment involved in comparing the performance of various health care entities. METHODS First, we present logistic regression, decision trees, and boosted decision trees in a unified framework. Second, we study in detail their application for(More)
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