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Conference Paper
The Market Prediction and CSF in Health Big Data Using AHP Method
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- Authors
- MoonKoo Kim, YoungWhan Cho, JongHyun Park
- Issue Date
- 2013-12
- Citation
- International Conference ICT-WSE6 2013, pp.1-5
- Language
- English
- Type
- Conference Paper
- Abstract
- The Big Data introduced by Smart ICT evolution has made it easy to analyze the cause and to predict the future. The convergence between Big Data and health care has expected the next frontier for innovation, and productivity of medical sector. The market and ecosystem of health Big Data has been continuous growing and expansion. In spite of the importance of Health Big Data, there are many accumulated the tasks for activating the related industry. This study investigates the market prediction and the critical success factors for activating health Big Data industry using AHP method. The results from expert survey show that the market growth is over 20% annually to 2020. And data analysis•prediction•inference technology development, Big Data legal system, data opening in the government and the private, the applications in healthcare company, and data security is chosen as key factors.
- KSP Keywords
- AHP Method, Critical Success Factors(CSF), Data analysis, Data security, Health big data, Key factor, Legal system, Market prediction, expert survey, health care