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Knowledge-Based Biomedical Data Science.


ABSTRACT: 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.

SUBMITTER: Callahan TJ 

PROVIDER: S-EPMC8095730 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Knowledge-Based Biomedical Data Science.

Callahan Tiffany J TJ   Tripodi Ignacio J IJ   Pielke-Lombardo Harrison H   Hunter Lawrence E LE  

Annual review of biomedical data science 20200407


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 t  ...[more]

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