Neuro-fuzzy prediction model of occupational injuries in mining.
Objectives. This study investigates the possibility of developing a unique model for predicting work-related injuries in Serbian underground coal mines using neural networks and fuzzy logic theory. Accidents are common due to the unique nature of underground mineral extraction involving people, mach...
| Publicado en: | International Journal of Occupational Safety & Ergonomics Vol. 31; no. 1; pp. 24 - 34 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183540578&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183540578 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10803548 39QK jtl: International Journal of Occupational Safety & Ergonomics issn: 10803548 maglogo: N pubinfo: dt: Mar2025 vid: 31 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 183540578 179803297 183540578 183540578 10.1080/10803548.2024.2401678 183540578 ppf: 24 ppct: 10 formats: tig: atl: Neuro-fuzzy prediction model of occupational injuries in mining. aug: au: Ivaz, Jelena S. Petrović, Dejan V. Stojadinović, Saša S. Stojković, Pavle Z. Petrović, Sanja J. Zlatanović, Dragan M. affil: Technical Faculty in Bor, University of Belgrade, Serbia sug: subj: Prediction Models Occupational-Related Injuries Risk Factors Risk Assessment Mining Serbia Neural Networks (Computer) Occupational Safety Multilayer Perceptrons Accidents, Occupational Prevention and Control Occupational-Related Injuries Epidemiology Human Serbia Occupational-Related Injuries Prevention and Control Personal Protective Equipment Communication Blue Collar Workers Sensitivity and Specificity Descriptive Statistics ab: Objectives. This study investigates the possibility of developing a unique model for predicting work-related injuries in Serbian underground coal mines using neural networks and fuzzy logic theory. Accidents are common due to the unique nature of underground mineral extraction involving people, machinery and limited workplaces. Methods. A universal model for predicting occupational accidents takes into account influential factors such as organizational aspects, personal and collective protective equipment, on-the-job training and leadership factors. The selected networks achieved a prediction accuracy of >90%. Results. The study successfully identifies potential risks and critical worker groups leading to injuries. The sensitivity analysis provides insights for targeted safety measures and improved organizational practices. Conclusion. This data-driven approach makes a valuable contribution to safety in the mining industry. Implementation of the predictive model can reduce injuries and machine damage, and improve worker well-being. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|