The main problem of today's anaesthesia department is that it spans a multiplicity of locations for data management dealing with data on the pre-OP, intra-OP, and post-OP situation as well as with data obtained fr...
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The main problem of today's anaesthesia department is that it spans a multiplicity of locations for data management dealing with data on the pre-OP, intra-OP, and post-OP situation as well as with data obtained from the laboratories, the administration, etc. In the operating room itself, numerous monitoring devices and anaesthesia machines have to be integrated into the anaesthesia documentation process. Therefore, computerized anaesthesia documentation as a part of quality control urgently needs sufficient support for handling both medical and administrative data, taking into account that the user usually is not a computer expert. We will describe an approach to solve the problem discussed applying object-oriented technology in medical data management, and a sequence of technical realization steps to bring this technology into clinical use.
We used two complementary fields, object-oriented databases and machine learning, to produce and revise a set of protein sequence patterns. In a first stage, we show that object-oriented query languages are well suite...
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We used two complementary fields, object-oriented databases and machine learning, to produce and revise a set of protein sequence patterns. In a first stage, we show that object-oriented query languages are well suited for the production of patterns as well as for the interpretation of the biological function of new (uncharacterized) sequences. In a second stage, a classification is built from the set of sequences according to the pattern matches. This classification may be criticized by a specific analysis method, which yields back to revise sequences and patterns. In our application, we have used concept lattices as a classification method and sequence multiple alignment for criticism.
The mobile computing environment is receiving increasing attention recently. We consider a mobile environment in which a collection of mobile clients accesses a stationary database server via a wireless channel. Due t...
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The rapid emergence of large-scale genetic databases raises issues at the nexus of medical law and ethics, as well as the need, at both national and international levels, for an appropriate and effective framework for...
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The rapid emergence of large-scale genetic databases raises issues at the nexus of medical law and ethics, as well as the need, at both national and international levels, for an appropriate and effective framework for their governance. This is even more so for retrospective access to data for secondary uses, wherein the original consent did not foresee such use. The first part of this paper provides a brief historical overview of the ethical and legal frameworks governing consent issues in biobanking generally, before turning to the secondary use of retrospective data in epidemiological biobanks. Such use raises particularly complex issues when (1) the original consent provided is restricted;(2) the minor research subject reaches legal age;(3) the research subject dies;or (4) samples and data were obtained during medical care. Our analysis demonstrates the inconclusive, and even contradictory, nature of guidelines and confirms the current lack of compatible regulations. The second part of this paper uses the European Network for Genetic and Genomic Epidemiology (ENGAGE Consortium) as a case study to illustrate the challenges of research using previously collected data sets in Europe. Our study of 52 ENGAGE consent forms and information documents shows that a broad range of mechanisms were developed to enable secondary use of the data that are part of the ENGAGE *** Journal of Human Genetics (2010) 18, 741-745;doi: 10.1038/ejhg. 2010.30;published online 24 March 2010
In distributed object-oriented databases (DOODB), objects is distributed in different sites on communication networks. In DOODB, class fragmentation to divide a class into fragments is needed for improving performance...
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ISBN:
(纸本)0818682272
In distributed object-oriented databases (DOODB), objects is distributed in different sites on communication networks. In DOODB, class fragmentation to divide a class into fragments is needed for improving performance and for reducing data transfer, Class fragmentation is different from conventional relational databases, We have proposed the vertical class fragmentation to reflect the characteristics of object-oriented databases. In this paper we define the attribute partitioning algorithm and describe the results of implementation and comparison.
The paper presents Data processing and optimization system for studying and making rational decisions on the formation of interstate electric power interconnections, with aim to increasing effectiveness of their funct...
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The paper presents Data processing and optimization system for studying and making rational decisions on the formation of interstate electric power interconnections, with aim to increasing effectiveness of their functioning and expansion. The technologies for building and integrating a Data processing and optimization system including an object-oriented database and a predictive mathematical model for optimizing the expansion of electric power systems ORIRES, are described. The technology of collection and pre-processing of non-structured data collected from various sources and its loading to the object-oriented database, as well as processing and presentation of information in the GIS system are described. One of the approaches of graphical visualization of the results of optimization model is considered on the example of calculating the option for expansion of the South Korean electric power grid.
In this paper, our research objective is to develop a database virtualization technique so that data analysts or other users who apply data mining methods to their jobs can use all ubiquitous databases in the Internet...
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ISBN:
(纸本)9781424456987
In this paper, our research objective is to develop a database virtualization technique so that data analysts or other users who apply data mining methods to their jobs can use all ubiquitous databases in the Internet as if they were recognized as a single database, thereby helping to reduce their workloads such as data collection from the databases and data cleansing works. In this study, firstly we examine XML scheme advantages and propose a database virtualization method by which such ubiquitous databases as relational databases, object-oriented databases, and XML databases are useful, as if they all behaved as a single database. Next, we show the method of virtualization of ubiquitous databases can describe ubiquitous database schema in a unified fashion using the XML schema. Moreover, it consists of a high-level concept of distributed database management of the same type and of different types, and also of a location transparency feature.
In this paper we explain how a Fuzzy object-Relational Database Management System (FORDMS) can be employed for implementing and integrating the different elements needed for the linguistic description of images, brief...
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ISBN:
(纸本)9781424469208
In this paper we explain how a Fuzzy object-Relational Database Management System (FORDMS) can be employed for implementing and integrating the different elements needed for the linguistic description of images, briefly ontology, concept representation and language generation. The approach is illustrated by its application in the description of X-Ray images of patients suffering from scoliosis.
A methodology is introduced for translating from methods in an object-oriented database to routines in a relational database. The approach consists of three steps. The first step is to translate method signature to Pe...
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A methodology is introduced for translating from methods in an object-oriented database to routines in a relational database. The approach consists of three steps. The first step is to translate method signature to Persistent Stored Modules signature. The second step is to translate method source language to (function/procedure) routine. The process includes Host Language, OSQL's Qualification, Query Translation, Update Transaction Translation, and objects inside object. The third step is to translate method invocation to routine invocation. According to this approach, object-oriented database methods can be translated to relational database routines that can be executed in the relational database environment assisted by a frame model and case statements listing all possible cases of binding conditions and actions. The significance of the finding is adding an open object-oriented interface on top of relational database system for database interoperability and in the development of an object-relational database management system.
The problem of building a large location table for physics objects occurs within a number of planned physics data management systems, like those that control reclustering and wide-area replication. To satisfy their ef...
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The problem of building a large location table for physics objects occurs within a number of planned physics data management systems, like those that control reclustering and wide-area replication. To satisfy their efficiency goals, these systems have to make local or remote replicas of individual physics objects, which contain raw or reconstructed data for a single event, rather than replicas of large run or n-tuple files. This replication implies the use of a table to resolve the logical, location independent object descriptor into a physical location where an object replica can be found, For modern physics experiments the table needs to scale to at least some 10(10) objects. We argue that such a table can be efficiently implemented by limiting the freedom of lookup operations, and by exploiting some specific properties of the physics data model. One specific viable implementation is discussed. (C) 2001 Elsevier Science B.V. All rights reserved.
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