Developing a biotech scheme using fuzzy logic model to predict occurrence of diseases using person's functional state

Al-Kasasbeh, Riad Taha; Korenevskiy, Nikolay; Aikeyeva, Altyn Amanzholovna; Rodionova, Sofia Nikolaevna; Shaqadan, Ashraf; Maksim, Ilyash

doi:10.1504/ijcat.2020.106570

Cited by 23 publications

(1 citation statement)

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“…An important role in assessing the current state of health, as well as in assessing the quality of work performed, is played by the functional state of the F S of the human body. In the context of this work, the quantitative characteristic of the F S level, determined by the method described in works [28, 35,36] , is considered as an informative feature in the synthesis of the corresponding decision rules. Taking into account the general recommendations of the methodology for synthesizing hybrid fuzzy decision rules (MSHFDR), confidence in the appearance and development of pathology by the F S factor Predictive Modeling of Occupational Safety Risks Associated with Railway Workers U is determined by the corresponding membership function in Equation 14:…”

Section: Methodsmentioning

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

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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.

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Section: Methodsmentioning

confidence: 99%