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: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7075417
• 关键词: artificial intelligence; automated medical record system; bioinformatics; biomedical automation; biomedical resource; clinical research; computer assisted patient care; computer program /software; computer system design /evaluation; data management; health science research; high throughput technology; human data

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.

产品说明： 该项目的长期目标是通过为生物医学界建立自然语言处理（NLP）资源来推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的形式出现，导致缺乏编码数据。这个NLP资源将通过高通量访问编码的生物医学知识和数据，使许多自动化应用成为可能。该资源的基础将是MedLEE NLP系统，该系统已在医疗保健环境中运行了近十年，用于广泛的应用，这些应用已被证明对临床护理很有价值。NLP资源还将包括BioMedLEE（MedLEE的衍生物），它编码科学文献中的基因型-表型（GP）关系。它目前专注于与癌症和传染病相关的GP关系，并被用于组织提取的信息，以促进模型生物数据库中的研究，策展和本体论发展。这项建议可让我们1）向社会推广我们的自然语言处理资源; 2）进行技术研究及发展（R&D），以促进资源的扩展及适应新的应用和专业; 3）进行工具的研究及发展，以促进编码后提取的数据和知识的使用;及4）推广资源，并以技术支持的形式为用户提供服务，文档和教程。MedLEE和BioMedLEE是涵盖临床和科学界的可扩展系统。适用于整个生物医学界的成熟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，可以努力释放NLP技术的真正潜力，增加旨在加强科学研究和改善各级健康的应用程序的开发。