Feb. 12, 2024, 5:41 a.m. | Shangsi Ren Cameron A. Beeche Zhiyi Shi Maria Acevedo Garcia Katherine Zychowski Shuguang Leng Pedram

cs.LG updates on arXiv.org arxiv.org

This study aims to establish the causal relationship network between various factors leading to workday loss in underground coal mines using a novel causal artificial intelligence (AI) method. The analysis utilizes data obtained from the National Institute for Occupational Safety and Health (NIOSH). A total of 101,010 injury records from 3,982 unique underground coal mines spanning the years from 1990 to 2020 were extracted from the NIOSH database. Causal relationships were analyzed and visualized using a novel causal AI method …

analysis artificial artificial intelligence cs.ai cs.lg data health institute intelligence loss network novel relationship risk safety stat.me study total workday

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