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There has been an increasing interest in learning low-dimensional vector representations of medical concepts from electronic health records (EHRs). While EHRs contain structured data such as diagnostic codes and laboratory tests, they also contain unstructured clinical notes, which provide more nuanced details on a patient's health status. In this work, we propose a method that jointly learns medical...
Ontologies, seen as effective representations for sharing and reusing knowledge, have become increasingly important in biomedicine, usually focusing on taxonomic knowledge specific to a subject. Efforts have been made to uncover implicit knowledge within large biomedical ontologies by exploring semantic similarity and relatedness between concepts. However, much less attention has been paid to another...
Community detection is important for many complex network applications. A major challenge lies in that the number of communities in a given social network is usually unknown. This paper presents a new community detection algorithm-Distance Centrality based Community Detection (DCCD). The proposed method is capable of detecting the community of network without a preset community number. The method...
Most existing community detection methods ignored the dynamic nature, a key property of social networks and these methods often lead to unreasonable divisions when faced with dynamic environments. Although there have been several dynamic community detection algorithms, low accuracy and low performing are still two challenging problems to be solved. In order to solve above problems, we proposed a new...
This paper studies the problem of scheduling preemptable queries with relative consistency constraints when the absolute consistency for real-time data objects is preserved. The single query schedule problem is studied first, then the multiple queries scheduling problem. An optimal algorithm and several heuristics for scheduling multiple queries are proposed. Experiments are also conducted to compare...
A numerical heat transfer model of vertical ground heat exchanger was developed based on finite volume method, and the influence factors on performance of ground heat exchanger was investigated. Simulation results indicate that higher conductivity of pipe material is more benefit to enhance the performance of ground heat exchanger. The heat transfer of ground heat exchanger increases with the augment...
Sensor transactions should be scheduled to preserve the temporal validity constraint of real-time data. In this paper, we propose a new algorithm called deferrable scheduling using time slice exchange. It defers the release time of a transaction instance as late as possible by exchanging its time slices with time slices for other transaction instances. Experiments show that it outperforms the Deferrable...
Because distributed micro-sensing involves direct interaction with a physical environment, data communication in wireless sensor networks often has timing constraints in the form of deadlines, which represent a new generation of real-time data communications from traditional networked systems. In this work we discuss energy problems of an existing real-time routing protocol LNA. Based on LNA, we propose...
Optimistic concurrency control (OCC) protocols have been shown to be better suited than locking protocols for real-time database systems, but they have the problems of late conflict detection and transaction restarts. Although time interval based OCC protocols reduce the number of transaction restarts by dynamic adjustment of serialization order, there are still some problems with them which result...
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