An insight of World Health Organization (WHO) accident database by cluster analysis with self-organizing map (SOM)
This paper analyzes the types and causes of road accidents worldwide. Viscovery SOMine clustering shows that there are differences between low- and high-income countries, which should be addressed with different counter measures.
Scientific analysis of road accidents in India by self-organizing map
The types, severity and causes of Indian road accidents are the focus of this paper. Viscovery SOMine is used to cluster 1 779 sample cases and reveals several similarities between causes of different accident types.
Learning from accidents: human errors, preventive design and risk mitigation
This dissertation introduces a systematic approach and data collection to analyze major high-technology accidents. Viscovery SOMine is used to cluster accidents according to underlying causes with special emphasis on deficiencies in the interaction of humans and technical systems.
Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studies
A risk management framework to prevent industrial accidents is developed. Viscovery SOMine is used on a data set of major industrial accidents to find common patterns and define safety measures.
Learning from accidents: analysis and representation of human errors in multi-attribute events
The analysis of major industrial accidents and the influence of human factors are the focus of this article. Viscovery SOMine is used to produce a map representing high-dimensional data about accidents, including technical data and human factors and analyze clusters of similar accident groups.
Detecting the impacts of socioeconomic factors on regional severity of work-related casualties in China
Impacts of socioeconomic factors on the severity of work-related casualties are analyzed on casualty data from China. The Viscovery SOMine cluster model revealed that work-related casualties first increase with economic development, reach a peak at an intermediate stage and decline with further development. In addition, influences of industrial and employment structure, as well as education level, medical condition and insurance coverage are found.