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- W2772028634 abstract "Stroke, characterized by high incidence, high prevalence and high mortality, has a serious impact on the health of the residents, and brings heavy burden to the family and the society in China. It is proved that early screening is an important and effective method in stroke prevention and control. Based on the 2012 screening data from China stroke screening and intervention program, we manually define a network and use Bayesian network model to study the network parameter and stroke probability with risk factors in order to explore the rationality of the screening standard proposed by the program mentioned above. We find that it is not reasonable enough to simply consider those with three risk factors as of high-risk for stroke without distinguishing the types and combinations of risk factors. Some two-factors combinations are with higher stroke probability than three-factors combinations. Therefore, in the screening, some new criteria should be added to avoid missing person with high risk of stroke, and a threshold is needed to remove low-risk combinations in order to save economic costs." @default.
- W2772028634 created "2017-12-22" @default.
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- W2772028634 date "2017-11-01" @default.
- W2772028634 modified "2023-09-28" @default.
- W2772028634 title "Discover high-risk factor combinations using Bayesian network from national screening data in China" @default.
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- W2772028634 doi "https://doi.org/10.1109/bibm.2017.8217801" @default.
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