A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models

Lu, Yaoqin; Yan, Huan; Zhang, Lijiang; Liu, Jiwen

doi:10.1155/2019/8159506

Cited by 6 publications

(4 citation statements)

References 31 publications

(11 reference statements)

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“…Meanwhile, 160 million workers suffer from occupational diseases with non-fatal work. Losses due to occupational illnesses and deaths due to occupational factors account for 4%-6% of the gross domestic product in related countries and regions in the world [2].…”

Section: Introductionmentioning

confidence: 99%

Workplace Stretching Exercise toward Reduction Job Burnout among Workers Pt. X International, Indonesia

Wahyu

Stang

Russeng

et al. 2020

Open Access Maced J Med Sci

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BACKGROUND: Occupational safety and health are health sciences that are applied through work and the work environment to obtain the highest degree of health both physically, mentally, and socially through preventive and curative efforts in the workplace. The emergence of work fatigue in workers is evidence of a decrease in bodily functions caused by both individual factors and the work environment so that precautions are needed. AIM: This study aimed to see the effect of workplace stretching exercise on work fatigue in workers at PT. X International, Indonesia. METHODS: This study used a quasi-experimental study with one group pre-test and post-test design. Respondents were 30 people selected by purposive sampling and met the study inclusion criteria. The provision of workplace stretching exercises was carried out for 15 working days and is given every 10 am after workers work for 2 h. RESULTS: The mean of work fatigue before intervention (pre-test) is 454.8133 and the average work fatigue after an intervention (post-test) is 321.9133 so that there are differences in the average work fatigue before and after the intervention. CONCLUSION: Workplace stretching exercise intervention affects reducing work fatigue in production workers of PT. X International Indonesia.

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Section: Introductionmentioning

confidence: 99%

Workplace Stretching Exercise toward Reduction Job Burnout among Workers Pt. X International, Indonesia

Wahyu

Stang

Russeng

et al. 2020

Open Access Maced J Med Sci

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“…Because of these peculiar properties, ISM excels at solving high-level problems, vis-a-vis cause-root analysis, complex process definitions, or simply a concept. A simple application of ISM, including grouping and sequencing, is used in industrial activities [27].…”

Section: Discussionmentioning

confidence: 99%

“…Based on these considerations, we considered that ISM is a relevant and applicable method to determine the key elements in the musculoskeletal disorders incidence in the instant food industry. Meanwhile, valuable information for controlling and preventing occupational diseases was obtained from predictions of research models [27].…”

Section: Introductionmentioning

confidence: 99%

Prediction and Control Model of Musculoskeletal Disorders in the Instant Noodle Company in Makassar 2020–2050

Ariyanto

Palutturi

Russeng

et al. 2022

Open Access Maced J Med Sci

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BACKGROUND: There are many risk factors that result in musculoskeletal disorders because of work. This also occurs in the instant food industry, where apart from manual load handling and repetitive work, the production process can also results in risks. AIM: The aims of this study are to predict the musculoskeletal disorders in the next 50 years and the effectiveness of scenarios for controlling musculoskeletal disorders. METHODS: This study employed Research and Development method through a dynamics system approach. This research was conducted in one of the industries that produce instant food in South Sulawesi, Indonesia. The data obtained was based on interviews, which were further analyzed using Interpretative Structural Modeling. RESULTS: Based on the simulation results for 30 years, it was found that there was an increase in the average musculoskeletal disorder incidence by 20.63% per year. At the end of the simulation in 2050, the number of musculoskeletal disorder incidents became 48481.69. In this case, the simulation for 30 years (2020–2050) was conducted on a model of controlling occupational diseases at an instant noodle company in Makassar by providing treatment in the form of reducing risk factors that cause musculoskeletal disorders. Based on the simulation results for 30 years (2020–2050), musculoskeletal disorders have the most significant contribution to the increase of occupational diseases incidents as a whole. The increase in musculoskeletal disorders is an accumulation of several risk factors that exist in the instant noodle production process. CONCLUSIONS: Prediction of the musculoskeletal disorder incidence using a dynamic system approach for 30 years (2020–2050) has increased by an average of 20.63% per year. The behavior of the model after receiving treatment on the occurrence of musculoskeletal disorders has an average decrease in the average incidence of 51.11% per year. In this case, to control the musculoskeletal disorder incidence, the elements or variables controlled simultaneously are work posture, lifting load, and length of work.

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“…In Sukmak et al's study, two ANN models, namely, radial basis function (RBF) and multi-layer perceptron (MLP) networks, were constructed to predict the monthly visits of anxiety disorder patients [ 3 ]. In Lu et al's study, five hybrid algorithm combing models were assessed and the results showed that the GM-ANN model provided the most precise prediction in forecasting the incidence of occupational diseases in China [ 28 ]. Khaldi et al [ 29 ] found that ANN assisted with EEMD outperformed the benchmarking models for approximation and generalization capabilities, while overcoming the problem of overfitting.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Daily Blood Sampling Room Visits Based on ARIMA and SES Model

Zhang

Xiong

et al. 2020

Computational and Mathematical Methods in Medicine

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This paper is aimed at establishing a combined prediction model to predict the demand for medical care in terms of daily visits in an outpatient blood sampling room, which provides a basis for rational arrangement of human resources and planning. On the basis of analyzing the comprehensive characteristics of the randomness, periodicity, trend, and day-of-the-week effects of the daily number of blood collections in the hospital, we firstly established an autoregressive integrated moving average model (ARIMA) model to capture the periodicity, volatility, and trend, and secondly, we constructed a simple exponential smoothing (SES) model considering the day-of-the-week effect. Finally, a combined prediction model of the residual correction is established based on the prediction results of the two models. The models are applied to data from 60 weeks of daily visits in the outpatient blood sampling room of a large hospital in Chengdu, for forecasting the daily number of blood collections about 1 week ahead. The result shows that the MAPE of the combined model is the smallest overall, of which the improvement during the weekend is obvious, indicating that the prediction error of extreme value is significantly reduced. The ARIMA model can extract the seasonal and nonseasonal components of the time series, and the SES model can capture the overall trend and the influence of regular changes in the time series, while the combined prediction model, taking into account the comprehensive characteristics of the time series data, has better fitting prediction accuracy than a single model. The new model can well realize the short-to-medium-term prediction of the daily number of blood collections one week in advance.

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A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models

Cited by 6 publications

References 31 publications

Workplace Stretching Exercise toward Reduction Job Burnout among Workers Pt. X International, Indonesia

Workplace Stretching Exercise toward Reduction Job Burnout among Workers Pt. X International, Indonesia

Prediction and Control Model of Musculoskeletal Disorders in the Instant Noodle Company in Makassar 2020–2050

Prediction of Daily Blood Sampling Room Visits Based on ARIMA and SES Model

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