Learning About Health and Medicine from Internet Data

E. Yom-Tov, I. Cox, Vasileios Lampos
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引用次数: 3

Abstract

Surveys show that around 70% of US Internet users consult the Internet when they require medical information. People seek this information using both traditional search engines and via social media. The information created using the search process offers an unprecedented opportunity for applications to monitor and improve the quality of life of people with a variety of medical conditions. In recent years, research in this area has addressed public-health questions such as the effect of media on development of anorexia, developed tools for measuring influenza rates and assessing drug safety, and examined the effects of health information on individual wellbeing. This tutorial will show how Internet data can facilitate medical research, providing an overview of the state-of-the-art in this area. During the tutorial we will discuss the information which can be gleaned from a variety of Internet data sources, including social media, search engines, and specialized medical websites. We will provide an overview of analysis methods used in recent literature, and show how results can be evaluated using publicly-available health information and online experimentation. Finally, we will discuss ethical and privacy issues and possible technological solutions. This tutorial is intended for researchers of user generated content who are interested in applying their knowledge to improve health and medicine.
从互联网数据中学习健康和医学
调查显示,大约70%的美国互联网用户在需要医疗信息时通过互联网进行咨询。人们通过传统的搜索引擎和社交媒体来寻找这些信息。使用搜索过程创建的信息为应用程序提供了前所未有的机会,可以监控和改善患有各种医疗状况的人的生活质量。近年来,这一领域的研究解决了诸如媒体对厌食症发展的影响等公共卫生问题,开发了测量流感发病率和评估药物安全性的工具,并检查了健康信息对个人福祉的影响。本教程将展示互联网数据如何促进医学研究,概述该领域的最新技术。在本教程中,我们将讨论可以从各种互联网数据源收集的信息,包括社交媒体、搜索引擎和专业医疗网站。我们将概述最近文献中使用的分析方法,并展示如何使用公开的健康信息和在线实验来评估结果。最后,我们将讨论道德和隐私问题以及可能的技术解决方案。本教程适用于有兴趣将其知识应用于改善健康和医学的用户生成内容的研究人员。
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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