首页> 外文会议>Association for Information Systems 9th Americas conference on information systems (AMCIS 2003) >IDENTIFYING PATTERNS OF PRACTICE IN LARGEADMINISTRATIVE HEALTH DATABASES
【24h】

IDENTIFYING PATTERNS OF PRACTICE IN LARGEADMINISTRATIVE HEALTH DATABASES

机译:识别大型管理健康数据库中的实践模式

获取原文
获取原文并翻译 | 示例

摘要

It has become crucial for health service administrators to gain better understanding of current medicalrntreatment patterns and associated costs to predict further developments of the processes governing healthrnchanges, to estimate health costs into the future. Episodic mining is a method that can assist organizations tornincrease their productivity and performance by considering some domain specifics. We suggest an efficientrnand scalable technique to mine episodic data that delivers a compact knowledge about health care episodesrnbased on decomposing a binary relation and the associated lattice.
机译:对于卫生服务管理者来说,更好地了解当前的医疗模式和相关费用,预测管理卫生变化的流程的进一步发展,估算未来的卫生成本已变得至关重要。情景挖掘是一种可以通过考虑某些特定领域来帮助组织提高生产力和绩效的方法。我们建议使用一种有效且可扩展的技术来挖掘情节数据,该技术可通过分解二进制关系和关联的格来提供有关医疗事件的紧凑知识。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号