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Comparison of machine learning methods in predicting binary and multi-class occupational accident severity

Journal of Intelligent & Fuzzy Systems, 2021
Although Machine Learning (ML) is widely used to examine hidden patterns in complex databases and learn from them to predict future events in many fields, utilization of it for predicting the outcome of occupational accidents is relatively sparse.
Fusun Recal, T. Demirel
semanticscholar   +1 more source

The causes of occupational accidents in human resources: the human factors theory and the accident theory perspective

International Journal of Occupational Safety and Ergonomics, 2022
Objectives. Despite many precautions taken in our country, the number of occupational accidents elevates continuously. In the literature, the causes of accidents due to human error are usually determined by a single theory base. However, according to the
Canan Yilmaz, A. Turan
semanticscholar   +1 more source

Occupational accidents and alcohol

International Archives of Occupational and Environmental Health, 1984
Alcoholic intoxication is commonly considered to be an important cause of occupational accidents. Over a period of one year the alcohol concentration in the breath and/or blood was studied in 5439 patients, who, following an occupational accident, attended the emergency departments of a large Danish provincial city.
S, Lings   +3 more
openaire   +2 more sources

Automobile accident occupant injuries

Journal of the American College of Emergency Physicians, 1976
Since the invent ion of the "horseless carriage," the number and types of death and disabil i ty among the occupants of vehicles involved in automobile accidents have been significant. By 1966, the numbers had become so a la rming as to resul t in the publicat ion of Accidental Death and Disability: the Neglected Disease of Modern Society2 The impact ...
J K, Sims   +3 more
openaire   +2 more sources

Text-clustering based deep neural network for prediction of occupational accident risk: A case study

2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2018
Predicting occupational accident risk using both structured and unstructured (text) data is broadly an unexplored area of research. Unstructured texts, i.e., incident narratives often remain unutilized or under-utilized.
Sobhan Sarkar, Vaibhav Lodhi, J. Maiti
semanticscholar   +1 more source

Occupational Accident and Occupational Disease Insurance

2020
The number of people who lost their lives as a result of occupational accidents in Turkey, as set forth by the mine tragedy in Soma in 2014, has reached scary dimensions. Given the fact that not all of the occupational accidents were reported to SSI and the uninsured employment of many workers, the numbers in the official statistics cannot be said to ...
openaire   +1 more source

Network mining techniques to analyze the risk of the occupational accident via bayesian network

International Journal of System Assurance Engineering and Management, 2022
N. Nayak   +5 more
semanticscholar   +1 more source

Occupational Accidents: Some Psychosocial Factors in the Accident Syndrome

Journal of Occupational and Environmental Medicine, 1965
Accident prevention in industry has been actively promoted by labour and management for many years but only in recent years has the psychological and motivational aspects of accident behaviour been systematically studied. The three ‘E's’, engineering, education and enforcement, have been the bases upon which successful accident-prevention programs have
E, LIPINSKI   +3 more
openaire   +2 more sources

Occupational accidents in education

European Journal for Education Law and Policy, 2002
In order to gain a good understanding of the current occupational accident regulations, it is important to place their origins within a historical perspective. Prior to the enactment of the Law on Occupational Accidents in 1903, the victims of an occupational accident were faced with a heavy burden of proof.
openaire   +2 more sources

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