Medical Mining: KDD 2015 Tutorial

M. Spiliopoulou, P. Rodrigues, Ernestina Menasalvas Ruiz
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引用次数: 1

Abstract

In year 2015, we experience a proliferation of scientific publications, conferences and funding programs on KDD for medicine and healthcare. However, medical scholars and practitioners work differently from KDD researchers: their research is mostly hypothesis-driven, not data-driven. KDD researchers need to understand how medical researchers and practitioners work, what questions they have and what methods they use, and how mining methods can fit into their research frame and their everyday business. Purpose of this tutorial is to contribute to this learning process. We address medicine and healthcare; there the expertise of KDD scholars is needed and familiarity with medical research basics is a prerequisite. We aim to provide basics for (1) mining in epidemiology and (2) mining in the hospital. We also address, to a lesser extent, the subject of (3) preparing and annotating Electronic Health Records for mining.
医学挖掘:KDD 2015教程
在2015年,我们经历了关于KDD用于医学和医疗保健的科学出版物、会议和资助计划的激增。然而,医学学者和从业人员的工作方式与KDD研究人员不同:他们的研究主要是假设驱动的,而不是数据驱动的。KDD研究人员需要了解医学研究人员和从业人员如何工作,他们有什么问题和使用什么方法,以及挖掘方法如何适合他们的研究框架和日常业务。本教程的目的是为这个学习过程做出贡献。我们处理医药和保健问题;在那里需要KDD学者的专门知识,熟悉医学研究基础是先决条件。我们的目标是为(1)流行病学的挖掘和(2)医院的挖掘提供基础。我们还在较小程度上讨论(3)为挖掘准备和注释电子健康记录的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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