Taxonomies Supporting Orientation, Navigation and Auditing of Terminologies

支持术语定位、导航和审核的分类法

• 批准号: 7675443
• 负责人: Yehoshua Perl
• 金额: $ 34.5万
• 依托单位: NEW JERSEY INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7675443
• 关键词: Anatomy; Area; Beds; Cereals; Classification; Clinical; Clinical Decision Support Systems; Collection; Decision Support Systems; Derivation procedure; Dictionary; Evaluation; Evolution; Generations; Genomics; Healthcare; International; Joints; Knowledge; Life Cycle Stages; Maintenance; Measures; Medical; Medical Dictionaries; Methodology; Modeling; National Cancer Institute; Neurofibrillary Tangles; Ophthalmologist; Parents; Patients; Pattern; Plant Roots; Plug-in; Process; Records; Reporting; Research; Research Technics; SNOMED Clinical Terms; Sampling Errors; Semantics; Software Tools; Structure; System; Systematized Nomenclature of Medicine; Taxonomy; Techniques; Terminology; Testing; Thesauri; Unified Medical Language System; United States Department of Veterans Affairs; Universities; Work; base; design; editorial; graphical user interface; novel; tool

DESCRIPTION (provided by applicant): We have seen the emergence of a generation of medical terminologies satisfying systematic inheritance of relationships. Examples include SNOMED CT (the Systematized Nomenclature of Medicine - Clinical Terms), the National Cancer Institute Thesaurus (NCIT), Kaiser's Convergent Medical Terminology (CMT), the VA's internal enterprise terminology, the Foundational Model of Anatomy (FMA), and the Medical Entities Dictionary (MED). These terminologies are of substantial size and complexity. Due to this, user orientation is difficult, especially given the fact that more knowledge is continually being added to them. Orientation and navigation capabilities are essential for effective terminology maintenance and usage (for example, in decision-support systems, patient records, and healthcare administrative systems). One cannot reasonably be expected to maintain or use a terminology reliably without them. We propose to design structural abstraction methodologies to derive novel terminological views called "taxonomies." These will form the bases for new techniques to support user orientation to and navigation of terminologies. The taxonomies will further aid in efficient auditing. A number of different levels of taxonomy will be developed. Our methodologies will utilize the IS-A relationship hierarchies and accompanying systematic relationship inheritance of this generation of terminologies. They will be based on new partitioning techniques, which will break down large collections of concepts into smaller units of structurally and semantically similar concepts that can be more easily handled and comprehended. One partitioning technique will be based on similar relationship structure, leading to the derivation of an abstraction network call the "area taxonomy." Another will further utilize semantic similarity based on common ancestry in the terminology's ISA hierarchy leading to the finer-grained "p-area taxonomy." Additional partitioning techniques---leading to further refined taxonomies---will focus on other structural features of terminologies, such as obtainment-pattern regions. Our abstraction methodologies will be general and applicable to a wide range of terminologies satisfying systematic inheritance. We will use SNOMED and the NCIT's genomics hierarchies as test-beds. We will demonstrate the utility of our taxonomy-based methodologies by defining various complexity measures with respect to the underlying terminology networks and by tracking terminology evolution.

描述（由申请人提供）： 我们已经看到了一代医学术语的出现， 关系的系统继承。示例包括SNOMED CT（ 美国国家癌症研究所（National Cancer Institute） 同义词词典（NCIT），凯撒的融合医学术语（CMT），VA的内部 企业术语、解剖学基础模型（FMA）和医疗 实体字典（MED）。这些术语具有相当大的规模和复杂性。 由于这一点，用户导向是困难的，特别是考虑到更多的知识， 不断被添加到其中。定位和导航能力对于 有效的术语维护和使用（例如，在决策支持系统中， 患者记录和保健管理系统）。一个人不能合理地 期望在没有它们的情况下可靠地维护或使用术语。我们建议设计 结构化抽象方法，以获得新的术语视图， “分类学。“这些将成为支持用户导向的新技术的基础 和导航的术语。分类法将进一步有助于有效的审计。 将制定若干不同层次的分类法。我们的方法将 利用IS-A关系层次和伴随的系统关系 这是这一代术语的继承。它们将基于新的分区 技术，它将把大量的概念分解成更小的单元， 结构和语义相似的概念，可以更容易地处理， 理解。一种划分技术将基于相似的关系结构， 从而导致了称为“区域分类法”的抽象网络的衍生。“另一个 将进一步利用基于术语伊萨中共同祖先的语义相似性 层次结构导致更细粒度的“P区域分类法”。“额外分区 技术--导致进一步细化分类--将集中在其他结构 术语的特征，例如获取模式区域。我们的抽象 方法将是通用的，适用于满足以下要求的广泛术语： 系统遗传我们将使用SNOMED和NCIT的基因组学层次结构， 试验台我们将通过以下方式展示基于分类的方法的实用性： 定义关于底层术语的各种复杂性度量 网络和跟踪术语演变。