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The imbalanced development among different levels of healthcare facilities has become a major social issue in China's urban healthcare system. In this research, we propose a methodology to find the optimal macro-level patient flow distribution in terms of multi-dimension inputs and outputs for the hierarchical healthcare system. This research integrates Discrete-Event Simulation (DES), multi-objective...
In a traditional data warehouse, "subject oriented" means that all the measurements relating to the same real-world event or object are linked together. The measurements are classified and navigated by "subject". But in a multi-use data warehouse, users want to classify and navigate the measurements by mutable cross-classifications flexibly. It is hard to find a universal "subject"...
LogitBoost algorithm is an extension of Adaboost algorithm. It replaces the exponential loss of Adaboost algorithm to conditional Bernoulli likelihood loss. LogitBoost-J algorithm further extends the LogitBoost to multiclass situation. But like LogitBoost algorithm and Adaboost algorithm, LogitBoost-J algorithm is not suitable for unbalanced data classification. This paper proposes a new LogitBoost...
In the context of globalization and the emergent “knowledge society,” the concept of building a learning society has been proposed in China and lifelong learning has been adopted as a common educational organizing principle for the 21st century. Adult education, as one form of lifelong learning, is under rapid development. Adult learners are very different from school students in learning styles due...
This paper studies on the multi-attribute weighing decision model of grey target based on theories of decision-making analysis. Concerning of Savage decision criteria under the circumstance of uncertain decision, grey interval number series have been put forward to extend definition of real number series as well as a ranking method has been given according to the distance from Grey target. In this...
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