一种基于数据挖掘技术和临床实践指南的乳腺癌治疗决策支持系统。

A decision support system for breast cancer treatment based on data mining technologies and clinical practice guidelines.

作者信息

Skevofilakas Marios, Nikita Konstantina, Templaleksis Panagiotis, Birbas K, Kaklamanos I G, Bonatsos G N

机构信息

Department of Electrical and Computer Engineering, National Technical University of Athens.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2005:2429-32. doi: 10.1109/IEMBS.2005.1616959.

DOI:10.1109/IEMBS.2005.1616959

PMID:17282728

Abstract

Evidence based medicine is the clinical practice that uses medical data and proof in order to make efficient decisions in the field of the medical domain. Information technology services play a crucial role in exploiting the huge size of medical data involved. Furthermore health care society nowadays utilizes clinical guidelines [1][2] as a new assistant in their efforts to improve clinical decision efficacy. Clinical guidelines provide for the decrease of variance in medical decision making, leading to an improvement of clinical outcome. Therefore this paper focus is twofold. Improving the provision and visualization of disease specific, clinical data, providing for it's faster and more efficient use[l0], while making sure that consistency appears in the clinical practice by importing clinical guidelines in decision support systems.

摘要

循证医学是一种临床实践，它利用医学数据和证据，以便在医学领域做出有效的决策。信息技术服务在利用所涉及的海量医学数据方面发挥着关键作用。此外，当今的医疗保健界将临床指南[1][2]作为提高临床决策效率的新助手。临床指南有助于减少医疗决策中的差异，从而改善临床结果。因此，本文的重点有两个方面。一是改善特定疾病临床数据的提供和可视化，以实现其更快、更高效的利用[10]，同时通过将临床指南引入决策支持系统，确保临床实践中的一致性。