Les articles du laboratoire
Le laboratoire croit en une vision basée sur un modèle d’innovation ouverte pour les membres du groupe et partiellement ouverte ou contrôlé à l’extérieur du groupe. Dans cette optique, nous souhaitons partager nos connaissances et faire rayonner le milieu académique avec la publication d'articles.
Nos articles
Clinical Decision Support in the PICU: Implications for Design and Evaluation
Année de parution: 2022To assess the current landscape of clinical decision support (CDS) tools in PICUs in order to identify priority areas of focus in this field.
Lien vers l'articleA data-driven approach to include availability of ICU beds in the planning of the operating roomR
Année de parution: 2022In this paper, we propose a novel approach to deal with the integration of the cancellation probability due to congestion in the intensive care unit in the (long term) surgical case assignment problem.
Lien vers l'articleOptical Thermography Infrastructure to Assess Thermal Distribution in Critically Ill Children
Année de parution: 2022The temperature distribution at the skin surface could be a useful tool to monitor changes in cardiac output. Goal: The aim of this study was to explore infrared thermography as a method to analyze temperature profiles of critically ill children. Methods: Patients admitted to the pediatric intensive care unit (PICU) were included in this study. An infrared sensor was used to take images in clinical conditions.
Lien vers l'articleDetecting of a Patient’s Condition From Clinical Narratives Using Natural Language Representation
Année de parution: 2022The study is a showcase to confirm that, dealing with a small dataset of clinical notes, a multilayer perceptron neural network classifier is a better approach compared to conventional classifiers, especially, pretrained-based deep learning models. Additionally, instead of losing information from numeric values, they can be retained and encoded for the representation learning. Consequently, it achieves better results for the classification task.
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