AIMC Topic: Accidents, Occupational

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Predicting financial losses due to apartment construction accidents utilizing deep learning techniques.

Scientific reports Mar 30, 2022
This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartment construction sites. Recently, the construction of apartment buildings is rapidly increasing to s...
Republic of Korea Workplace Deep Learning Accidents, Occupational
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Development of an intelligent knowledge base for identification of accident causes based on Fu et al.'s model.

International journal of occupational safety and ergonomics : JOSE Nov 6, 2020
In this study, an intelligent knowledge base (IKB) is developed based on a model developed by Fu et al. for identification of accident causes, which may play a significant role in preventing accidents. This IKB has been generated using eight sample a...
Accidents, Occupational Knowledge Bases Humans
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[Application of a deep learning for occupational health and safety recognition: a pilot study in a logistics industry].

Sangyo eiseigaku zasshi = Journal of occupational health Aug 28, 2018
Industry Deep Learning Pilot Projects Safety Occupational Health Accidents, Occupational Humans Artificial Intelligence
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Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit.

International journal of occupational safety and ergonomics : JOSE Jul 23, 2018
The field of occupational health and safety (OHS) focuses on reducing occupational accidents to an acceptable level. OHS covers systematic efforts aimed at providing employee health, safety and welfare in the workplace. This study proposes a new appr...
Metallurgy Occupational Health Weapons Humans Accidents, Occupational Fuzzy Logic Risk Assessment
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Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.

Journal of Korean medical science Apr 25, 2018
BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study investigated whether factors used in previou...
Databases, Factual Female Male Middle Aged Adult Humans Return to Work Machine Learning Support Vector Machine Accidents, Occupational Decision Trees Logistic Models Odds Ratio
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Construction accident narrative classification: An evaluation of text mining techniques.

Accident; analysis and prevention Sep 1, 2017
Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss reporting are encouraged by organizations and regulators. However, for organizations managing large safety databases, the time taken to accurately classi...
Linear Models Reproducibility of Results Accidents Accidents, Occupational Construction Industry Humans Support Vector Machine Bayes Theorem Machine Learning Algorithms Decision Trees Safety Databases, Factual Narration Data Mining
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Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillance.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Jan 4, 2016
OBJECTIVE: Vast amounts of injury narratives are collected daily and are available electronically in real time and have great potential for use in injury surveillance and evaluation. Machine learning algorithms have been developed to assist in identi...
Population Surveillance Databases, Factual Data Mining Occupational Injuries Accidents, Occupational Humans Models, Theoretical Machine Learning
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Visualizing what's missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction.

Journal of safety research Jul 1, 2025
INTRODUCTION: In the construction industry, where safety is paramount, the frequency and severity of workplace incidents remain critical concerns. Therefore, site safety inspections have become essential for health and safety programs. While incident...
Accidents, Occupational Canada Natural Language Processing Humans Deep Learning Construction Industry Occupational Health Root Cause Analysis Data Mining Safety Management
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Application of machine learning for detecting high fall risk in middle-aged workers using video-based analysis of the first 3 steps.

Journal of occupational health Jan 7, 2025
OBJECTIVES: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fa...
Humans Machine Learning Risk Assessment Accidents, Occupational Gait Adult Video Recording Male Female Accidental Falls Risk Factors Middle Aged
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