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Supporting translational research on inherited cardiomyopathies through information technology

机译:通过信息技术支持遗传性心肌病的转化研究

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Objectives: The INHERITANCE project, funded by the European Commission, is aimed at studying genetic or inherited Dilated cardiomyopathies (DCM) and at understanding the impact and management of the disease within families that suffer from heart conditions that are caused by DCMs. The biomedical informatics research activity of the project aims at implementing information technology solutions to support the project team in the different phases of their research, in particular in genes screening prioritization and new gene-disease association discovery. Methods: In order to manage the huge quantity of scientific, clinical and patient data generated by the project several advanced biomedical informatics tools have been developed. The paper describes a layer of software instruments to support translation of the results of the project in clinical practice as well as to support the scientific discovery process. This layer includes data warehousing, intelligent querying of the phenotype data, integrated search of biological data and knowledge repositories, text mining of the relevant literature, and case based reasoning. Results: At the moment, a set of 1,394 patients and 9,784 observations has been stored into the INHERITANCE data warehouse. The literature database contains more than 1,100,000 articles retrieved from the Pubmed and generically related to cardiac diseases, already analyzed for extracting medical concepts and genes. Conclusions: After two years of project the data warehouse has been completely set up and the text mining tools for automatic literature analysis have been implemented and tested. A first prototype of the decision support tool for knowledge discovery and gene prioritization is available, but a more complete release is still under development. ? Schattauer 2013.
机译:目标:由欧盟委员会资助的INHERITANCE项目旨在研究遗传性或遗传性扩张型心肌病(DCM),并了解该疾病对由DCM引起的心脏病的家庭的影响和管理。该项目的生物医学信息学研究活动旨在实施信息技术解决方案,以在项目研究的不同阶段为项目团队提供支持,特别是在基因筛查优先次序和新的基因-疾病关联发现方面。方法:为了管理该项目生成的大量科学,临床和患者数据,开发了几种先进的生物医学信息学工具。本文介绍了一层软件工具,以支持在临床实践中翻译项目结果以及支持科学发现过程。该层包括数据仓库,表型数据的智能查询,生物数据和知识库的集成搜索,相关文献的文本挖掘以及基于案例的推理。结果:目前,一组1,394名患者和9,784个观察值已存储到INHERITANCE数据仓库中。文献数据库包含从Pubmed检索到的1,100万篇与心脏病有关的文章,这些文章已经过分析以提取医学概念和基因。结论:经过两年的项目,数据仓库已完全建立,用于自动文献分析的文本挖掘工具已经实现并经过测试。提供了用于知识发现和基因优先排序的决策支持工具的第一个原型,但仍在开发更完整的版本。 ?沙塔尔2013年。

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