Daniel Antonioli
6 Papers
52 Citations
Daniel Antonioli is an academic researcher. The author has contributed to research in topics: Logistic regression & Bed Occupancy. The author has an hindex of 4, co-authored 6 publications.
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Papers
A simple method to optimize hospital beds capacity.
Jean-Michel Nguyen,P. Six,Daniel Antonioli,P. Glemain,Gilles Potel,Pierre Lombrail,P. Le Beux +6 more
TL;DR: A new method that is as simple to use as the ratio method while minimizing the roundabout approaches of these methods is developed and represents a real alternative to the ratio methods.
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A universal method for determining intensive care unit bed requirements.
TL;DR: A universally applicable nonparametric method that is reliable for determining the number of beds needed in any type of ICU and can be used by all ICU managers is developed.
Random Forest of Perfect Trees: Concept, Performance, Applications, and Perspectives.
Jean-Michel Nguyen,Pascal Jézéquel,Pierre Gillois,Luisa Silva,Faouda Ben Azzouz,Sophie Lambert-Lacroix,Philippe Juin,Mario Campone,Aurélie Gaultier,Alexandre Moreau-Gaudry,Daniel Antonioli +10 more
TL;DR: In this paper, the authors proposed a new type of decision tree that uses a neuron at each node as well as an in-innovative half-christmas tree structure, and developed a score based on a family of ten new statistical information criteria, called Nguyen information criteria (NICs), to evaluate the predictive qualities of features in three dimensions.
An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods.
TL;DR: An objective approach in order to determine the number of beds required for a hospital department by considering how recruitment fluctuates over time, which led to a superior performance in terms of accessibility and proxy of clinical effectiveness at the expense of productive efficiency.
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Beds Simulator 1.0: a software for the modelisation of the number of beds required for a hospital department.
Jean-Michel Nguyen,Patrick Six,Daniel Antonioli,Pierre Lombrail,Pierre Le Beux +4 more
- 01 Jan 2003
TL;DR: This modelisation was successfully tested in teaching and non teaching hospitals, for an Intensive Care Unit, two Internal Medicine and a surgical departments, and a software easy to use was developed.
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