[HTML][HTML] Audit masquerade: How audits provide comfort rather than treatment for serious safety problems
Investigations following major accidents sometimes find that auditing failed to identify critical
deficiencies. Such findings assume that the deficiencies were just waiting to be found: if only …
deficiencies. Such findings assume that the deficiencies were just waiting to be found: if only …
COVID-19 outbreak: A data-driven optimization model for allocation of patients
COVID-19 is an unprecedented pandemic that puts the entire world at stake and the
healthcare systems across the globe have faced pressing challenges. The number of COVID …
healthcare systems across the globe have faced pressing challenges. The number of COVID …
Establishment-level safety analytics: a scoping review
The use of data analytics has seen widespread application in fields such as medicine and
supply chain management, but their application in occupational safety has only recently …
supply chain management, but their application in occupational safety has only recently …
An ensemble learning-based undersampling technique for handling class-imbalance problem
Real-world data commonly have an issue of class-imbalance, which poses a big challenge
in pattern recognition and machine learning tasks. To handle this issue, we have proposed …
in pattern recognition and machine learning tasks. To handle this issue, we have proposed …
Application of hybrid clustering technique for pattern extraction of accident at work: a case study of a steel industry
The phenomenon of occupational accidents is a serious concern of any industry. There are
various factors present which collectively interplay behind the occurrence of accidents. For …
various factors present which collectively interplay behind the occurrence of accidents. For …
Text-clustering based deep neural network for prediction of occupational accident risk: a case study
Predicting occupational accident risk using both structured and unstructured (text) data is
broadly an unexplored area of research. Unstructured texts, ie, incident narratives often …
broadly an unexplored area of research. Unstructured texts, ie, incident narratives often …
Decision support system for prediction of occupational accident: a case study from a steel plant
Decision support system (DSS) is a powerful tool which helps decision-makers take
unbiased and insightful decisions from the historical data. In the domain of occupational …
unbiased and insightful decisions from the historical data. In the domain of occupational …
Application of rough set theory and machine learning algorithms in predicting accident outcomes in the Indian petroleum industry
RK Gangadhari, V Khanzode… - … : Practice and Experience, 2022 - Wiley Online Library
Recent advancements in machine learning techniques are helping researchers to develop
predictive models that assist decision‐makers to get a quick, unbiased overview of the …
predictive models that assist decision‐makers to get a quick, unbiased overview of the …
Text mining-based association rule mining for incident analysis: a case study of a steel plant in India
Although a large amount of accident data in terms of categorical attributes and free texts are
available across large enterprises involving high-risk operations, the methodology for …
available across large enterprises involving high-risk operations, the methodology for …
Root cause analysis of incidents using text clustering and classification algorithms
The purpose of this study is to cluster the injury narratives to extract the root causes behind
the accidents. Analysis is done on incident data collected from the database of an integrated …
the accidents. Analysis is done on incident data collected from the database of an integrated …