课题基金 / 基金详情

A Biomedical Natural Language Processing Resource

A Biomedical Natural Language Processing Resource
生物医学自然语言处理资源
批准号:
7075417
负责人:
CAROL FRIEDMAN
金额:
$54.48万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-01 至 2009-06-30

项目摘要

项目成果

CAROL FRIEDMAN的其他基金

相关文献

中文摘要
翻译
说明: 该项目的长期目标是通过为生物医学社区建立自然语言处理(NLP)资源来促进临床护理和生物医学研究。开发用于临床应用和生物医学研究的自动化工具的一个主要瓶颈是,大多数数据和知识以文本形式出现,导致缺乏编码数据。这一NLP资源将通过实现对编码的生物医学知识和数据的高吞吐量访问,使大量自动化应用成为可能。这一资源的基础将是MedLEE NLP系统,该系统已在医疗保健环境中投入使用近十年,用于已被证明对临床护理有价值的广泛应用。NLP资源还将包括BioMedLEE(MedLEE的衍生品),它编码科学文献中的基因-表型(GP)关系。它目前专注于与癌症和传染病相关的GP关系,并被用来组织提取的信息,以促进模型生物体数据库中的研究、管理和本体论发展。这项建议将使我们能够1)向社会传播我们的NLP资源;2)进行技术研究和开发(R&D),以促进资源的扩展和适应新的应用和专业;3)进行工具的研发,以便于在编码后使用提取的数据和知识;以及4)推广资源,并以技术支持、文档和教程的形式为用户提供服务。MedLEE和BioMedLEE是可扩展的系统,涵盖临床和科学社区。适用于整个生物医学界的经过验证的NLP系统的传播为多个开发人员和研究人员提供了一个难得的机会,让他们努力释放NLP技术的真正潜力,增加旨在加强科学研究和改善所有健康水平的应用程序的开发。
英文摘要
DESCRIPTION: The long-term aim of this project is to advance clinical care and biomedical research by establishing a natural language processing (NLP) resource for the biomedical community. A major bottleneck for development of automated tools for clinical applications and biomedical research is that most of the data and knowledge occur in the form of text, resulting in a lack of coded data. This NLP resource will make possible a host of automated applications by enabling high throughput access to coded biomedical knowledge and data. The foundation of this resource will be the MedLEE NLP system, which has been used operationally for almost a decade in healthcare settings for a broad range of applications that have proven to be valuable for clinical care. The NLP resource will also include BioMedLEE (a derivative of MedLEE), which encodes genotypic-phenotypic (GP) relations in the scientific literature. It currently focuses on GP relations associated with cancer and infectious diseases, and is being used to organize the extracted information to facilitate research, curation, and ontological development within model organism databases. This proposal will enable us to 1) disseminate our NLP resource to the community, 2) conduct technological research and development (R&D) to facilitate expansion and adaptation of the resource to new applications and specialties, 3) conduct R&D of tools that facilitate use of the extracted data and knowledge after coding, and 4) promote the resource, and provide service to users in the form of technical support, documentation, and tutorials. MedLEE and BioMedLEE are extendable systems that encompass the clinical and scientific communities. The dissemination of a proven NLP system that is applicable to the entire biomedical community provides an exceptional opportunity for multiple developers and researchers to work to unleash the true potential of NLP technology, increasing development of applications that aim to enhance scientific research and improve all levels of health.
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