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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
Reality mining: A prediction algorithm for disease dynamics based on mobile big data
ترجمه فارسی عنوان مقاله:
واقعیت کاوی: یک الگوریتم پیش بینی برای پویایی بیماری بر اساس داده های بزرگ سیار
منبع:
Sciencedirect - Elsevier - Information Sciences, 379 (2016) 82-93. doi:10.1016/j.ins.2016.07.075
نویسنده:
Yuanfang Chen, Noel Crespi a, Antonio M. Ortiz b, Lei Shu caa
چکیده انگلیسی:
Predicting disease dynamics during an epidemic is an important aspect of e-Health applications. In such prediction, Realistic Contact Networks (RCNs) have been widely used
to characterize disease dynamics. The structure of such networks is dynamically changed
during an epidemic. Capturing such kind of dynamic structure is the basis of prediction.
With the popularity of mobile devices, it is possible to capture the dynamic change of
the network structure. On this basis, in this study, we evaluate the impact of the network
structure on disease dynamics, by analyzing massive spatiotemporal data collected by mobile devices. These devices are carried by the volunteers of Ebola outbreak areas. Based on
the results of this evaluation, a model is designed to recognize the dynamic structure of
RCNs. On the basis of this model, we propose a prediction algorithm for disease dynamics. By extensive experiments, we show that our algorithm improves the accuracy of the
disease prediction.
Keywords: Reality mining | Disease dynamics | Prediction algorithm | Mobile big data
قیمت: رایگان
توضیحات اضافی:
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