AIMC Topic: Mining

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Hidden threats beneath: uncovering the bio-accessible hazards of chromite-asbestos mine waste and their impacts on rice components via multi-machine learning algorithm.

Environmental geochemistry and health May 17, 2025
The chromite-asbestos mining leaves behind tonnes of toxic waste, contaminating nearby agricultural fields with potentially toxic elements (PTEs). Over time, wind and water erosion spread these pollutants, severely impacting the ecosystem, food chain...
Humans Machine Learning Algorithms Risk Assessment Environmental Monitoring Food Contamination Soil Pollutants Chromium Oryza Industrial Waste Mining
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Feasibility and Utility of Lexical Analysis for Occupational Health Text.

Journal of occupational and environmental medicine Jun 1, 2017
OBJECTIVE: Assess feasibility and potential utility of natural language processing (NLP) for storing and analyzing occupational health data.
Humans Occupational Exposure Natural Language Processing Feasibility Studies Data Mining Occupational Health Terminology as Topic Unified Medical Language System Mining Occupational Injuries
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