Pilot study of an interprofessional pediatric mechanical ventilation educational initiative in two intensive care units.

Introduction: Inappropriate ventilator settings, non-adherence to a lung-protective ventilation strategy, and inadequate patient monitoring during mechanical ventilation can potentially expose critically ill children to additional risks. We set out to improve team theoretical knowledge and practical skills regarding pediatric mechanical ventilation and to increase compliance with treatment goals.

Methods: An educational initiative was conducted from August 2019 to July 2021 in a neonatal and pediatric intensive care unit of the University Children's Hospital, Hamburg-Eppendorf, Germany.

Clustering by fuzzy neural gas and evaluation of fuzzy clusters.

We consider some modifications of the neural gas algorithm. First, fuzzy assignments as known from fuzzy c-means and neighborhood cooperativeness as known from self-organizing maps and neural gas are combined to obtain a basic Fuzzy Neural Gas. Further, a kernel variant and a simulated annealing approach are derived.