Biotech Scheme for the Prediction Occupational Disease of the Railway Locomotive Crews

Al-Kasasbeh, Riad Taha; Korenevskiy, Nikolay; Aikeyeva, Altyn Amanzholovna; Rodionova, Sofia Nikolaevna; Maksim, Ilyash; Alshamasin, Mahdi Salman; Shaqdan, Ashraf

doi:10.1007/978-3-030-80744-3_29

Cited by 6 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The obtained quantitative characteristics make it possible to recommend the results obtained in the medical practice of medical and preventive institutions serving railway transport workers. Part of the methodology and case study was presented in the AHFE 2021 International Conference ,July 25-29, 2021 -Virtual Conference, USA [56].…”

Section: Resultsmentioning

confidence: 99%

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Korenevskiy

Al-Kasasbeh

Rodionova

et al. 2023

Preprint

View full text Add to dashboard Cite

Diagnosis, reporting and proper analysis of occupational diseases among railway workers and crew remain unsatisfactory so far. This paper focus on utilizing the concepts of human factors and ergonomics (HFE) for improving the quality of care provided to railway workers, in particular, railway transportation crews. The high level of morbidity in this category of workers makes it important to search for new methods and innovative approach for improve the quality of decision-making related to the risks of the development of occupational diseases in railway crews. The paper aims to develop a method for the prediction and diagnoses of occupational diseases of railway crew workers, this will allow gathering decision rules necessary for improving the quality of medical care provided to crew and preventive strategies based on best practices. The decision rules obtained in the work take into account various risk factors associated with the design and working conditions in the cab of a locomotive in combination with other factors that may increase the risk of the occurrence and development of occupational diseases for workers of locomotive crews that is caused by poor or inappropriate working conditions. The authors investigated the various risks causing occupational diseases, and extrapolate the relationships revealed to railway workers in order to forecast high risk of occupational diseases among railway crew.

show abstract

Section: Resultsmentioning

confidence: 99%

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Korenevskiy

Al-Kasasbeh

Rodionova

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The National Highway Transportation Safety Administration (NHTSA) found that 94% to 96% of all motor vehicle accidents are caused by human error [3]. Human factors like attention and cognitive ability have important influence on risk of accidents when operating machines like small vehicles or complex machinery like railway trains [4,5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Human and Cultural Factors Causing Risk of Accidents in Jordanian Drivers

Jadaan¹,

Abojaradeh²,

Shaqadan³

et al. 2022

IJSSE

View full text Add to dashboard Cite

The major objective of this research paper is to investigate the Traffic Safety culture among Jordanian drivers, and to identify common aggressive behaviors, and its association to diverse social factors. An online survey questionnaire was distributed among drivers in Jordan; samples were collected in the Amman area in 2019. The data analysis of the survey was analyzed using the statistical program SPSS. The survey questions were based on methods found in the (AAA foundation’s Annual Traffic Safety Culture). It was found that drivers in Jordan have high exposure to traffic accidents, where one in eight drivers has been injured in a traffic accident, and nearly one in three Jordanians knows someone killed in an accident. 75% of participants consider aggressive driving as a very serious threat, 60% have honked the vehicles horn excessively within 30 days, 36% often failed to signal when turning or stopping. The most common behavior for drivers during the last 30 days according to the survey is “speeding through yellow light 85%, followed by lack of Seat belt use 80%, and followed by Mobile phone use while driving78%, and followed by Speeding on highways 61%. Male drivers were more aggressive, drivers were more exposed to car accidents, they were 1.3 times to get involved in a vehicle damage accident, and four times as female to get involved in a severe injury accident. In addition, significant differences in behavior were found among drivers when compared under surveillance of police and traffic cameras, and when there is no surveillance. 88% of drivers would never cross the red light, 60% would never use the mobile phone, and 75% would never speed if they knew there was a camera or if police were around. Preventive countermeasures were recommended to increase the safety culture awareness of drivers in Jordan.

show abstract

Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points

Filist

Al-Kasasbeh

Шаталова

et al. 2022

Journal of Integrative Medicine

View full text Add to dashboard Cite

Biotech Scheme for the Prediction Occupational Disease of the Railway Locomotive Crews

Cited by 6 publications

References 29 publications

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Analysis of Human and Cultural Factors Causing Risk of Accidents in Jordanian Drivers

Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points

Contact Info

Product

Resources

About