AI predicts construction safety outcomes using NLP and machine learning

Researchers have developed an AI-based system to predict construction safety outcomes using natural language processing on incident reports. The updated approach utilizes a larger dataset of over 90,000 reports and incorporates new machine learning models like XGBoost and linear SVM, along with model stacking. This method successfully predicts injury severity, type, body part impacted, and incident type, validating the original approach and significantly advancing the field by improving prediction accuracy for injury severity. AI

影响 Enhances safety protocols in construction by providing predictive insights into potential incidents and their severity.

排序理由 Academic paper detailing a novel application of NLP and machine learning for safety prediction. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

• linear SVM
• Natural Language Processing
• XGBoost

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