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A Novel Cache and SSD-based Index Structure for Health Record Indexing 一种基于缓存和ssd的健康记录索引结构
Pub Date : 1900-01-01 DOI: 10.3233/978-1-61499-512-8-993
Yang Du, Sule YAYILGAN YILDIRIM
Textual-based indexing has been widely used in various medical databases. It plays increasingly important role in modern medical information systems since it directly affects the diagnosis time. Building an efficient indexing system will greatly improve the quality of treatment and save lives in emergency departments of hospitals. Researchers have set up various algorithms to optimize the query response time. B+ tree is ubiquitous in all kinds of databases as a well-known index structure with superior performance [1]. However, it shows poor performance especially when the database operation involves many retrievals. It has been proven that query performance can be significantly improved if the node size is equal to cache size. Fractal prefetching B+ Tree was developed by a group of researchers to improve the retrieval performance. Cache-first approach produces good results but it cannot simultaneously utilize CPU cache and SSD page. We propose a multi-dimensional tree structure named CacheSSD-Based tree (Fig.1).
基于文本的索引在各种医学数据库中得到了广泛的应用。它直接影响到诊断时间,在现代医疗信息系统中发挥着越来越重要的作用。建立一个高效的索引系统将大大提高医院急诊科的治疗质量,挽救生命。研究人员已经建立了各种算法来优化查询响应时间。B+树作为一种众所周知的性能优越的索引结构,普遍存在于各种数据库中[1]。但是,它表现出较差的性能,特别是当数据库操作涉及许多检索时。事实证明,如果节点大小等于缓存大小,查询性能可以得到显著提高。分形预取B+树是一种提高检索性能的方法。缓存优先的方法效果很好,但不能同时利用CPU缓存和SSD页面。我们提出了一个多维树结构,命名为CacheSSD-Based树(图1)。
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引用次数: 0
Patient Information, Consentsand Privacy Protection Scheme for an Information System Dedicated to Pervasive Developmental Disorders 广泛性发育障碍信息系统的患者信息、同意和隐私保护方案
Pub Date : 1900-01-01 DOI: 10.3233/978-1-61499-432-9-755
M. B. Saïd, L. Robel, C. Messiaen, Yann Craus, J. Jaïs, B. Golse, P. Landais
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引用次数: 0
What Information about Cardiovascular Diseases do People Search Online? 人们在网上搜索关于心血管疾病的哪些信息?
Pub Date : 1900-01-01 DOI: 10.3233/978-1-61499-432-9-1191
Ashutosh Jadhav, Stephen T Wu, A. Sheth, Jyotishman Pathak
We collected ten million CVD related anonymized search queries that direct users from Web search engines to the Mayo Clinic’s consumer health information website. Using UMLS MetaMap, we semantically mapped the CVD queries to UMLS sematic types and concepts. Based on the semantic type/concepts, we developed a rule-based approach and categorized 94% of the 10 million queries into 17 health categories.
我们收集了1000万个与心血管疾病相关的匿名搜索查询,这些查询将用户从网络搜索引擎引导到梅奥诊所的消费者健康信息网站。使用UMLS MetaMap,我们在语义上将CVD查询映射到UMLS语义类型和概念。基于语义类型/概念,我们开发了一种基于规则的方法,并将1000万个查询中的94%分类为17个健康类别。
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引用次数: 1
ADAMS: Data-base management as a decision support system for epidemiologists 作为流行病学家决策支持系统的数据库管理
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_116
F. Ferri, P. Grifoni, L. Meo-Evoli, F. Ricci
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引用次数: 1
Computers in Hospitals, Vulnerability Aspects 医院中的计算机,漏洞方面
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_10
A. Bakker
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引用次数: 0
PC Network for Hospital Information System 面向医院信息系统的PC网络
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_28
N. Balogh
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引用次数: 0
Site Specific Outcomes Analysis: Inducing Knowledge from a Limited Set of the Cardiac Assist Support Data 特定部位结果分析:从有限的心脏辅助支持数据中获得知识
Pub Date : 1900-01-01 DOI: 10.3233/978-1-60750-912-7-987
A. Babic
Site specific outcomes analysis : includingknowledge from a limited set of the cardiac assist support data
特定地点的结果分析:包括来自有限的心脏辅助支持数据集的知识
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引用次数: 0
Intelligent Peripheral Module for Data Acquisition and Control 数据采集与控制智能外设模块
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_178
D. Pavkov, G. Misic-Pavkov, J. Mihaljev-Martinov, M. Pečujlija
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引用次数: 0
Thirteen Years of a Nation-Wide Curriculum in Medical Informatics: Does it Still Meet the Requirements? 医学信息学全国课程设置十三年:还能满足要求吗?
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_107
R. Busse, O. Rienhoff
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引用次数: 1
A Validation Methodology for Testing Decision-Support Systems for Insulin Dosage Adjustment 胰岛素剂量调整决策支持系统的验证方法研究
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_68
A. Roudsari, H. Leicester, E. Lehmann, R. Hovorka, S. Andreassen, T. Deutsch, E. Carson, P. Sönksen
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引用次数: 10
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Medical Informatics Europe
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