基于知识的生物医学数据科学。

IF 4.4 2区化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

ACS Applied Polymer Materials Pub Date : 2020-07-01 Epub Date: 2020-04-07 DOI:10.1146/annurev-biodatasci-010820-091627

Tiffany J Callahan, Ignacio J Tripodi, Harrison Pielke-Lombardo, Lawrence E Hunter

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引用次数: 0

摘要

以知识为基础的生物医学数据科学涉及到计算机系统的设计和实施，这些计算机系统就像了解生物医学一样。这类系统依赖于计算机系统中正式表述的知识，通常以知识图谱的形式存在。在此，我们将介绍使用正式表征的知识来解决临床和生物领域数据科学问题的系统的最新进展，以及创建知识图谱方法的进展。主要主题包括知识图谱与机器学习之间的关系、使用自然语言处理构建知识图谱，以及将基于知识的新方法扩展到临床和生物领域。

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Knowledge-Based Biomedical Data Science.

Knowledge-based biomedical data science involves the design and implementation of computer systems that act as if they knew about biomedicine. Such systems depend on formally represented knowledge in computer systems, often in the form of knowledge graphs. Here we survey recent progress in systems that use formally represented knowledge to address data science problems in both clinical and biological domains, as well as progress on approaches for creating knowledge graphs. Major themes include the relationships between knowledge graphs and machine learning, the use of natural language processing to construct knowledge graphs, and the expansion of novel knowledge-based approaches to clinical and biological domains.

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来源期刊

ACS Applied Polymer Materials Multiple-

CiteScore

7.20

自引率

6.00%

发文量

810

期刊介绍： ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.