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KMID : 1001720150250030005
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Journal of Vocational Rehabilitation
2015 Volume.25 No. 3 p.5 ~ p.24
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Job Security and Healthy Living for Industrial Disaster Workers : Deriving Positive Patterns Using Data Mining Techniques
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Choi Keun-Ho
Suh Yong-Moo
Yoo Dong-Hee
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Abstract
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The Workers’ Compensation system in Korea is expanding its role from medical treatment and compensation to rehabilitation, as increasing the rate of return to the job is an important issue for a five-year plan for rehabilitation development.
To this end, this study develops three prediction models for industrial disaster workers. Each predicts whether the worker can return to his/her job, whether the worker can find a new job, and whether the worker will be healthy comparing to his/her health state before the industrial disaster occurred. In the first prediction model, 12 final influential input variables were used, among which ‘whether one kept a relationship with his/her owner during medical treatment’ was the most influential. In the second prediction model, 8 final influential input variables were used, among which ‘whether one received job-related education or training after medical treatment’ was the most influential. In the third prediction model, 4 final influential input variables were used of which ‘whether the period of medical treatment was appropriate’ was the most influential.
The results of this study can help establish more personalized support service for industrial disaster workers to ensure their job security and healthy lives in the future.
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KEYWORD
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industrial disaster workers, return to pre-injury job, return to employment, workers’ health state, data mining
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