AI-Driven Volunteer Selection - Elsner, Jesko
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In case of medical emergency situations, a Volunteer Notification System aims to alarm potential helpers who can arrive at the victim fast enough to provide cardiopulmonary resuscitation until the professional EMS arrive on scene. A simplistic solution for selecting the corresponding volunteers is described by a so called notification radius, i.e., alarming any volunteer with a geographic location that is within a maximum distance from the victim. Whilst the actual geographical distance is an important parameter to be considered, this work will illustrate that various additional decision…mehr

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Produktbeschreibung
In case of medical emergency situations, a Volunteer Notification System aims to alarm potential helpers who can arrive at the victim fast enough to provide cardiopulmonary resuscitation until the professional EMS arrive on scene. A simplistic solution for selecting the corresponding volunteers is described by a so called notification radius, i.e., alarming any volunteer with a geographic location that is within a maximum distance from the victim. Whilst the actual geographical distance is an important parameter to be considered, this work will illustrate that various additional decision parameters are of importance, and elaborate an AI-driven volunteer selection system to increase the reliability and efficiency of occurring notifications.
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Autorenporträt
Since 2011, Jesko Elsner is a research scientist and postgraduate at the Institute of Information Management in Mechanical Engineering (IMA) of the RWTH Aachen University. Mr. Elsner has more than 8 years of practical experience in the field of computer science as well as Business Informatics. His research interest focuses on applied Machine Learning, Profiling and Software Engineering.