Les articles du laboratoire
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Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children
Année de parution: 2019In an intensive care units, experts in mechanical ventilation are not continuously at patient’s bedside to adjust ventilation settings and to analyze the impact of these adjustments on gas exchange. The development of clinical decision support systems analyzing patients’ data in real time offers an opportunity to fill this gap.
Lien vers l'articleCreating a High-Frequency Electronic Database in the PICU: The Perpetual Patient*
Année de parution: 2018Our objective was to construct a prospective high-quality and high-frequency database combining patient therapeutics and clinical variables in real time, automatically fed by the information system and network architecture available through fully electronic charting in our PICU. The purpose of this article is to describe the data acquisition process from bedside to the research electronic database.
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