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KMID : 0926620180230040026
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Korean Journal of Hospital Management
2018 Volume.23 No. 4 p.26 ~ p.39
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Extracting of Interest Issues Related to Patient Medical Services for Small and Medium Hospital by SNS Big Data Text Mining and Social Networking
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Hwang Sang-Won
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Abstract
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Purposes: The purpose of this study is to analyze the issue of interest in patient medical service of small and medium hospitals using big data.
Methods: The method of this study was implemented by data mining and social network using SNS big data. The analysis tool were extracted key keywords and analyzed correlation by using Textom, Ucinet6 and NetDraw program.
Findings: In the results of frequency, the network-centered and closeness centrality analysis, It was shown that the government center is interested in the major explanations and evaluations of the technology, information, security, safety, cost and problems of small and medium hospitals, coping with infections, and actual involvement in bank settlement. And, were extracted care for disabilities such as pediatrics, dentistry, obstetrics and gynecology, dementia, nursing, the elderly, and rehabilitation.
Practical Implications: Future studies will be more useful if analyzed the needs of customers for medical services in the metropolitan area and provinces may be different in the small and medium hospitals to be studied, further classification studies.
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KEYWORD
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small and medium hospitals, patient medical services, big data, dentistry needs, rehabilitation
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