Mining Internet Conversation For Evidence Of Herbal Association

描述（由申请人提供）：挖掘互联网对话以获得草药相关不良事件的证据摘要本申请涉及广泛的挑战领域（10），用于处理医疗保健数据的信息技术和特定的挑战主题10-LM-102：用于上市后监督的信息学。通常，讨论板等在线资源的用户会就他们不愿与提供者讨论的主题寻求建议。其中一个主题是使用草药补充剂。人们对这些补充剂的使用和效果知之甚少，主要是由于患者和提供者的沉默，但也由于缺乏正式的报告机制。因此，可能与草药使用相关的不良事件和相互作用很难在基于人群的调查中进行评估。监测与草药使用相关的副作用和不良事件以及处方药与草药的相互作用的潜在影响非常重要。该项目的目标是开发，应用和评估计算智能工具，用于挖掘会话文本，以获得与乳腺癌和前列腺癌相关的在线通信资源用户报告的草药和处方药不良事件和副作用的证据。本项目将使用这些信息学工具作为上市后监测新方法的基石，并已由美国国家医学图书馆确定为响应所述挑战主题。该项目将在宾夕法尼亚大学医学院进行，该学院为当地经济做出了重大贡献。2008年，学校创造了37，000个就业机会和54亿美元的区域经济活动。该项目将创造或保留8个工作岗位。学校填补这些职位的能力是显而易见的：在2008年，宾大收到了超过24，600份申请，只有840个开放的工作人员研究职位。挖掘互联网对话中草药相关不良事件的证据随着留言板、博客和聊天室等在线资源的出现，关于草药使用的讨论越来越多。在从这些在线文本中挖掘文本时，将发现与草药使用相关的副作用和不良事件以及处方药与草药相互作用的新信息。这对公众的健康非常重要，因为它为草药哨兵网络系统建立了框架。

DESCRIPTION (provided by applicant): Mining Internet Conversations for Evidence of Herbal-Associated Adverse Events Abstract This application addresses broad Challenge Area (10), Information Technology for Processing Health Care Data and specific Challenge Topic 10-LM-102: Informatics for Post- Marketing Surveillance. Often, users of online resources such as discussion boards seek advice about topics they are hesitant to discuss with providers. One such topic is the use of herbal supplements. Relatively little is known about the use and effects of these supplements, primarily due to patient and provider reticence, but also owing to the lack of a formal reporting mechanism. As a result, adverse events and interactions possibly related to herbal use are difficult to evaluate in a population-based investigation. The potential impact for monitoring side effects and adverse events associated with herbal use as well as prescription drug interactions with herbals is highly important. The goal of this project is to develop, apply, and evaluate computational intelligence tools for mining conversational text for evidence of adverse events and side effects of herbals and prescription drugs reported by users of online communication resources relating to breast and prostate cancer. This project will use these informatics tools as the cornerstone of a new approach to post-marketing surveillance, and has been determined by the National Library of Medicine to be responsive to the stated Challenge Topic. This project will be conducted at the University of Pennsylvania School of Medicine, which contributes substantially to the local economy. In 2008, the School created 37,000 jobs and $5.4 billion in regional economic activity. This project will create or retain eight jobs. The School's ability to fill these positions is evident: in 2008, Penn received more than 24,600 applications for just 840 open staff research positions. Mining Internet Conversations for Evidence of Herbal-Associated Adverse Events There has been increasing discussion about the use of herbals with the advent of online resources such as message boards, blogs, and chat rooms. In mining the text from such online, new information about side effects and adverse events associated with herbal use as well as prescription drug interactions with herbals will be discovered. This is highly important for the health of the public, as it stands to create the framework for an herbal sentinel network system.