A data-driven narratives skeleton pattern recognition from accident reports dataset for human-and-organizational-factors analysis

Accidents in the process industry involve several interacting factors, including human and organizational factors (HOFs). A long-standing obstacle to HOFs analysis is lack of data. Accident reports are an essential data source to learn from the past and contain HOFs-related data, but they are usuall...

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הוצא לאור ב:	Journal of Loss Prevention in the Process Industries
Main Authors:	Shuo Yang, Micaela Demichela
פורמט:	Article
שפה:	אנגלית
יצא לאור:	Elsevier BV 2023
נושאים:	Risk and Safety Analysis Occupational Health and Safety Research Industrial and Mining Safety human and organizational factors accident reports risk communication unstructured text analysis risk assessment decision support visualization
גישה מקוונת:	https://doi.org/10.1016/j.jlp.2023.105047
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