Linking the Drugs and Pharmaceutical Databases

K. Wegrzyn-Wolska, G. Dziczkowski, L. Bougueroua
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引用次数: 3

Abstract

The quantity of biomedical publications is growing at an exponential rate. With such explosive growth of the content, it is more and more difficult to locate, retrieve and manage the resulting information. This is why text mining has become a necessity. The main goal of biomedical research is to put knowledge to practical use in the form of diagnoses, prevention, and treatment. It is important to pool the resources between the different individuals researching results. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Information Retrieval and Text Mining methods in biomedicine. The article will first look at the directions in biomedical Text Mining and then describe the work done for the BIAM project, the French on-line Medical Data Base.
连接药物和药物数据库
生物医学出版物的数量正以指数速度增长。随着内容的爆炸式增长,所产生的信息的定位、检索和管理变得越来越困难。这就是为什么文本挖掘成为一种必要。生物医学研究的主要目标是将知识以诊断、预防和治疗的形式付诸实践。在不同的个人研究结果之间汇集资源是很重要的。本文的目的是讨论在生物医学中使用信息检索和文本挖掘方法的各种问题和挑战。本文将首先介绍生物医学文本挖掘的方向,然后描述BIAM项目(法国在线医学数据库)所做的工作。
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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