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医学与医疗保健领域的网络科学

Web science in medicine and healthcare.

作者信息

Denecke K, Brooks E

出版信息

Methods Inf Med. 2013;52(2):148-51.

Abstract

OBJECTIVES

Medical social-media provide a new source of information within information gaining contexts. Facts, experiences, opinions or information on behaviour can be found in the medical web and could support a broad range of applications. The intention of this Focus Theme is to bring the existing research together and to show the possibilities, challenges and technologies for Web Science in medicine and healthcare.

METHODS

This editorial provides an overview on the landscape of medical social-media and their possibilities in supporting healthcare. Further, it summarizes the three papers included in this Focus Theme.

RESULTS AND CONCLUSIONS

The three papers of this Focus Theme consider different aspects of Web Science in medicine which are 1) detection of drug interactions from social media, 2) inferring community structures from online forums and 3) improving access to online videos through assignment of SNOMED CT terms. All three papers show the potential of medical social-media in supporting health information gathering processes from the web. However, several issues still need to be addressed in future: Methods are necessary for identifying high quality information from the medical web as well as for processing the language that is used by social media users to report about their symptoms, diseases and other health issues.

摘要

目标

医学社交媒体在信息获取环境中提供了一种新的信息来源。在医学网络中可以找到关于行为的事实、经验、观点或信息,并且这些信息可支持广泛的应用。本聚焦主题的目的是将现有研究汇总起来,展示医学和医疗保健领域网络科学的可能性、挑战及技术。

方法

本社论概述了医学社交媒体的概况及其在支持医疗保健方面的可能性。此外,它总结了本聚焦主题中包含的三篇论文。

结果与结论

本聚焦主题的三篇论文探讨了医学领域网络科学的不同方面,分别是:1)从社交媒体中检测药物相互作用;2)从在线论坛推断社区结构;3)通过分配SNOMED CT术语改善对在线视频的访问。所有这三篇论文都展示了医学社交媒体在支持从网络收集健康信息过程中的潜力。然而,未来仍有几个问题需要解决:需要有方法来从医学网络中识别高质量信息,以及处理社交媒体用户用于报告其症状、疾病和其他健康问题的语言。

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