Ebrahim Darvishi

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PURPOSE Prediction of hearing loss in noisy workplaces is considered to be an important aspect of hearing conservation program. Artificial intelligence, as a new approach, can be used to predict the complex phenomenon such as hearing loss. Using artificial neural networks, this study aims to present an empirical model for the prediction of the hearing loss(More)
OBJECTIVE The purpose of this study was to evaluate the rate of subjective mental workload (SMWL) and its correlation with musculoskeletal disorders among bank staff members in Kurdistan Province located in western Iran. METHODS This cross-sectional study was conducted among 200 bank staff members in Kurdistan Province, Iran. The mental workload was(More)
INTRODUCTION Shoulder disorders are one of the most prevalent musculoskeletal disorders among carpet weavers. The most important cause of these disorders is muscle fatigue. The aim of the present study is to investigate the effect of carpet weaving characteristics on upper trapezius (UTr) muscle fatigue during a task cycle. METHOD In this cross-sectional(More)
Visual display terminals (VDTs) as one of the most important and useful equipment are used in offices and workplaces that may be created some health hazards, including work-related musculoskeletal disorders (WMSDs). The aims of this study were to (i) investigate the prevalence of WMSDs among Iranian bank tellers and (ii) to examine the demographic and(More)
BACKGROUND Prediction models are used in a variety of medical domains, and they are frequently built from experience which constitutes data acquired from actual cases. This study aimed to analyze the potential of artificial neural networks and logistic regression techniques for estimation of hearing impairment among industrial workers. MATERIALS AND(More)
OBJECTIVES This study aimed to provide an empirical model of predicting low back pain (LBP) by considering the occupational, personal, and psychological risk factor interactions in workers population employed in industrial units using an artificial neural networks approach. METHODS A total of 92 workers with LBP as the case group and 68 healthy workers as(More)
BACKGROUND Workers' exposure to excessive heat in molten industries is mainly due to radiant heat from hot sources. OBJECTIVE The aim of this study was to evaluate the efficacy of radiant heat controls on workers heat stress around a typical blast furnace. METHODS Two main interventions were applied for reducing radiant heat around the blast furnace of(More)
Exposure to microorganisms can cause various diseases or exacerbate the excitatory responses, inflammation, dry cough and shortness of breath, reduced lung function, chronic obstructive pulmonary disease, and allergic response or allergic immune. The aim of the present study was to investigate the density of microorganisms around the air of processing(More)
BACKGROUND Safety programs are a core part of safety management in workplaces that can reduce incidents and injuries. The aim of this study was to investigate the influence of Safety Training Observation Program (STOP) technique as a behavior modification program on safety climate in a construction company. METHODS This cross-sectional study was carried(More)
Periodontal disease is one of the most prevalent inflammatory illnesses and is a main cause of tooth loss in human population. Tumor necrosis factor-α (TNF-α) gene is one of pro-inflammatory cytokines which has important role in pathogenesis of periodontal disease. The main purpose of this study is to determine genotype abundance of TNF-α-1031 gene in both(More)