用于电子健康和医疗目的的社交媒体分析

K. Wegrzyn-Wolska, L. Bougueroua, G. Dziczkowski
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引用次数: 19

摘要

媒体上的医学出版物数量,如推特、博客和社交媒体上的其他内容,正以指数级的速度增长。探索和分析这一内容已成为一种必要。本文的目的是讨论围绕在电子健康和医学应用中使用社会网络分析和文本挖掘方法的各种问题和挑战。本文将首先探讨社交媒体和文本挖掘在医学科学中的应用方向。首先,我们回顾了用于医疗目的的社交媒体和文本挖掘分析的文献,然后描述了我们用于收集和操纵Twitter数据的预测系统所做的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social media analysis for e-health and medical purposes
The quantity of medical publications in the media such a tweets, blogs, and another content in social media is growing at an exponential rate. Exploring and analyzing this content has become a necessity. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Social Network Analyses and Text Mining methods for applications in E health and medecine. The article will first look at the directions taken in Social Media and Text Mining for medical science. First we present a review of the literature in Social Media and Text Mining analysis for medical purposes and then describe the work done for our prediction system for collecting and manipulating and Twitter data.
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