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Data mining and CBR integrated methods in medicine: a review

机译:医学中的数据挖掘和CBR集成方法:综述

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摘要

Nowadays, a large number of data mining (DM) techniques are available for data analysis and prediction in medicine. Few literatures are available that provide a comprehensive view which give a guideline to use the DM techniques in different medical areas (domain). This review provides a comprehensive view of the state of the art of single DM and integrated case-based reasoning (CBR) and DM techniques in different medical domains such as: general medicine, nephrology, dermatology, cardiology, urology, oncology, neurology and orthopaedic. We present our observation in tabular and graphic mode, which shows the use of a particular method of DM in the various domains of medical use and the use of different methods of DM in a particular' medical domain. The study and observation would help the biomedical engineers to know the applicability of a particular method in different medical domains of practice and research.
机译:如今,大量的数据挖掘(DM)技术可用于医学中的数据分析和预测。很少有文献提供全面的观点,这些指南给出了在不同医学领域(领域)使用DM技术的指南。这篇综述提供了在不同医学领域,例如:普通医学,肾脏病学,皮肤病学,心脏病学,泌尿科,肿瘤学,神经病学和整形外科领域的单一DM和基于案例推理(CBR)和DM综合技术的最新发展情况。我们以表格和图形模式展示我们的观察结果,该模式显示了在医疗用途的各个领域中使用DM的特定方法,以及在特定的医疗领域中使用DM的不同方法。研究和观察将帮助生物医学工程师了解特定方法在实践和研究的不同医学领域中的适用性。

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