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Electronic medical record (EMR) system has become increasingly more important in developed countries due to its convenience and efficiency in medical information storage, management and analysis. However, one of the main limitations of EMR lies in that the clinical data for patients cannot be exchanged among different medical institutions. Recently, the cloud-based clinic system, featuring in lower...
Data with multiple uncertain labels are common in many situations. For examples, a movie may be associated with multiple genres with different levels of confidence, and a protein sequence may be probabilistically assigned to several structural subcategories. Despite their ubiquity, the problem of visualizing uncertain labels has not been adequately addressed. Existing approaches often either discard...
A recommendation algorithm based on artificial immune network is proposed to deal with the problems of data sparsity and scalability in recommendation technology in the paper. The algorithm can reduce data sparsity and improve the accuracy by using its own mechanisms for dynamic regulation of the immune. The experimental results show that the algorithm has improved the recommend accuracy and has some...
Blogs are a new form of internet phenomenon and a vast ever-increasing information resource, which are dated unedited, highly opinionated personal online commentary including all kinds of hyperlinks such as citation link, comment link, blogroll link. These links can be viewed as the blogger's browse behavior, which reflects the user's interest to a certain extent. So we construct a blogger-post matrix,...
In this paper, a hybrid control architecture is proposed for the adaptive robust control of a class of nonlinear systems with uncertain parameter variation ranges. Specifically, the standard set-membership description of uncertainty is adopted - the bounds of the structural approximation errors associated with the parametrized models are assumed to be known but the variation ranges of model parameters...
Knowledge extraction provides the potential for producing high quality representation of the document and can help storing, retrieving, sharing, and management of explicit biomedical knowledge. This article addresses the task of mining binary relationships between concepts from biomedical literature for scientific discovery from medical literature. The UMLS has defined the domain entities and the...
From 8th to 24th in August 2008, a set of Traffic Demand Management (TDM) policies were applied in Beijing during the 2008 Olympic Games. These TDM strategies include improving performance of the existing transportation network, staggering work schedules and limiting the use of public vehicles and private vehicles. This paper studies the performance targets, the implementation details and the effects...
Java reflection mechanism is an important technology for improving system flexibility and expandability, which makes the software has the ability of self-adaptive, it changes itself with the external environmental change so as to realize the dynamic evolution of the program. The concept and mechanism of reflection are introduced in this paper, and this paper present a Framework for Persistence Data...
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