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首页> 外文会议>2002 Information Resources Management Association International Conference Vol.1; May 19-22, 2002; Seattle, Washington, USA >Knowledge Discovery In Clinical Databases: Issues and Processes
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Knowledge Discovery In Clinical Databases: Issues and Processes

机译：临床数据库中的知识发现：问题和过程

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摘要

The healthcare field is facing strong pressures for cost reduction along with demands for increased quality of service. As a strategy to address these issues, healthcare information systems are being utilized in the field to help in decision support and knowledge management. The knowledge discovery process consists of several segments: data gathering, data cleansing, information generation, information mining, knowledge generation, knowledge storage and distribution. Knowledge Discovery in Clinical Databases: Issues and Process examines the processes of data acquisition and data cleaning as they pertain to nursing information management within a spinal cord injury (SCI) clinical database. A long-term goal of clinical database analysis is the achievement of greater efficiency and effectiveness in the use of resources for nursing care delivery The focus of the paper is on pertinent data cleaning issues faced while gathering data for a data-mining project. Areas of future research are also discussed.
机译：医疗保健领域面临着降低成本以及提高服务质量的巨大压力。作为解决这些问题的策略，医疗信息系统已在该领域得到利用，以帮助决策支持和知识管理。知识发现过程包括几个部分：数据收集，数据清理，信息生成，信息挖掘，知识生成，知识存储和分发。临床数据库中的知识发现：问题和过程检查了与脊髓损伤（SCI）临床数据库中的护理信息管理相关的数据获取和数据清洁过程。临床数据库分析的长期目标是在护理资源交付方面实现更高的效率和效力。本文的重点是针对数据挖掘项目收集数据时面临的相关数据清洁问题。还讨论了未来的研究领域。

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