Mining Internet Conversation For Evidence Of Herbal Association

挖掘互联网对话以寻找草药协会的证据

基本信息

批准号：
7936953
负责人：
JOHN H. HOLMES
金额：
$ 49.7万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-30 至 2012-09-29
项目状态：
已结题

项目摘要

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.

描述（由申请人提供）：挖掘互联网对话以获取草药相关不良事件的证据摘要本申请解决了广泛的挑战领域 (10)、用于处理医疗保健数据的信息技术和特定挑战主题 10-LM-102：后期信息学营销监督。通常，讨论板等在线资源的用户会就他们不愿与提供商讨论的主题寻求建议。其中一个主题是草药补充剂的使用。人们对这些补充剂的用途和效果知之甚少，这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，在基于人群的调查中很难评估可能与草药使用相关的不良事件和相互作用。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，用于挖掘对话文本，以获取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。该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，并已被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，为当地经济做出了重大贡献。 2008年，学校创造了37,000个就业岗位，并为地区经济活动创造了54亿美元的收入。该项目将创造或保留八个就业岗位。宾夕法尼亚大学填补这些职位的能力是显而易见的：2008 年，宾夕法尼亚大学仅收到了 840 个空缺研究职位的 24,600 多份申请。挖掘互联网对话以寻找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。在挖掘此类在线文本时，将会发现有关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。这对于公众的健康非常重要，因为它为草药哨兵网络系统创建了框架。