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Titlebook: Biomedical Data Management and Graph Online Querying; VLDB 2015 Workshops, Fusheng Wang,Gang Luo,Cong Yu Conference proceedings 2016 Spring

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發(fā)表于 2025-3-30 11:04:40 | 只看該作者
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發(fā)表于 2025-3-30 16:21:18 | 只看該作者
The Time Has Come: Traversal and Reachability in Time-Varying Graphstypical implementations against two graph processing systems, a columnar graph execution engine and a native graph database management system. Our experimental evaluation on a large real-world graph dataset demonstrates the generality and applicability of our solution and shows the scalability of ou
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發(fā)表于 2025-3-30 17:21:58 | 只看該作者
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發(fā)表于 2025-3-31 00:36:00 | 只看該作者
The Study of the Compatibility Rules of Traditional Chinese Medicine Based on Apriori and HMETIS Hyp increase the efficacy in treating certain syndromes. However, up to now, most of the compatibility rules of herbs are based on empirical analyses, which make them hard to study. Since concepts of Big Data and machine learning have been popularized gradually, how to use data mining techniques to eff
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發(fā)表于 2025-3-31 04:44:44 | 只看該作者
Comparing Small Graph Retrieval Performance for Ontology Concepts in Medical Textsare, essentially, small segments of the terminology graphs. Compositional expressions add logical and linguistic relations to the standard technique of post-coordination. In indexing medical text, many instances of compositional expressions must be stored, and in performing retrieval on that index,
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發(fā)表于 2025-3-31 05:22:32 | 只看該作者
Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and algorithms, we have implemented an innovative two-layer multiplex network of human diseases. Specifically, we extract the International Classification of Diseases, Ninth Revision (ICD9) codes from an Electronic Medical Records (EMRs) database to build our map of human diseases. In the lower layer,
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