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Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries

  • Sandro Radovanovic
  • Boris Delibasic
  • Milija Suknovic
  • Dajana Matovic
Original paper

Abstract

Ski injury is a rare event with 2‰ rate (2 injuries per 1000 skier days expected). Additionally, injuries are dispersed over a ski resort spatially and temporally, making it harder to predict where the injury will occur. In order to inspect ski-related injuries, we have developed a visual system which allows global and spatial inspection of ski lift transportation RFID data. To enrich the visual environment, we have embedded a predictive lasso regression model which predicts injury occurrence spatially and temporally over a ski resort with an AUC performance of 0.766. We propose the model which allows decision makers to make real-time decisions on allocation of rescue service capacities at a ski resort. Predictive model improves the models existing in literature as it works for various locations at a ski resort, and makes predictions of occurring injuries on an hourly basis.

Keywords

Ski injury prediction Data visualization Lasso logistic regression 

Notes

Acknowledgements

We acknowledge the Ski resorts of Serbia and the Serbian mountaineer rescue service for providing data for this research.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Organizational SciencesUniversity of BelgradeBelgradeSerbia
  2. 2.Teaching FacultyUniversity of BelgradeBelgradeSerbia

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