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INTELLIGENT GEOINFORMATIC EXPERT SYSTEM FOR PROVIDING EMERGENCY HELP DURING EXTREME SITUATIONS
Abstract
This research belongs to one of characteristic traits of human livelihood, which connected to mass traumatism in consequence of catastrophes caused by nature or technological activity. Data and knowledge bases of proposed system consist of precedent information, accumulated for wide range of geoinformational conditions of emergency situations, different symptoms and features that affect human organism, extent of influence and positive experiences of giving urgent help to sufferers. Optimal routes and required means of evacuation are taken into account for concrete cases of disastrous situations, ontological knowledge base about traumas and ecommendations for giving a first aid interactively to rescuers, based on symptoms, attributes and type of received trauma. In structure of human losses during emergency situations taken into account high density of multiple traumas and high frequency among traumas caused by compartment syndrome. Algorithms for decision making are based upon naive-bayes models and neural networks. System is designed to be used by emergency services from Android phone or tablet devices with wider range of recommendations and decision making using connection to social services and internet.
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