An intelligent model for predicting the occurrence of skiing injuries

• Artificial neural networks offer a unique way to model very complex and innovative systems that can be very effective in anticipating various accident severities. In this article, we propose a neural-network-based model, able to predict the number of severe injuries caused while skiing. The proposed system is intended for use by ski patrol and medical personnel to better prepare themselves in advance for treating ski-injured persons. The ski patrol and any other medical personnel will be able to know the statistics, type and severity of the injuries occurred, and most importantly, will be benefiting from having predictions for each day. Considering that, the number of injured people in a particular place each day was estimated, the results are very promising suggesting that such a system would prove beneficial in accurately predicting skiing injuries.

Ämnesord

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)

SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (hsv//eng)

Nyckelord

emergency management;injuries;medical computing;neural nets;patient treatment;sport;accident severities;artificial neural networks;intelligent model;medical personnel;neural-network-based model;ski patrol;ski-injured persons;skiing injury occurrence prediction;Artificial neural networks;Injuries;Neurons;Predictive models;Snow;Training;Ski patrol;injured person;neural network;predict

Computer Science

Datavetenskap

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