Predicting injury severity in Canada’s mineral exploration industry using machine learning скачать в хорошем качестве

Predicting injury severity in Canada’s mineral exploration industry using machine learning

Canada’s mineral exploration industry is vital but carries significant injury risks. This research leverages machine learning to enhance worker safety by predicting injury severity, using extensive data from the Prospectors and Developers Association of Canada (PDAC). Machine learning’s ability to process large datasets and detect hidden patterns makes it essential across sectors. By applying advanced techniques, this research uncovers injury trends, supporting the development of improved safety protocols to reduce injury rates and promote a safer work environment. Learn more at www.crosh.ca Presented as part of CROSHCon 2025: Research for Workers on January 24, 2025. Presented by Elmira Saffarvarkiani , Business Data Analyst