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- W4239626380 abstract "We show how we implemented an end-to-end process to automatically develop a clinical practice knowledge base acquiring from SOAP notes. With our contribution we intend to overcome the “Knowledge Acquisition Bottleneck” problem by jump-starting the knowledge gathering from the most widely available source of clinical information that are natural language reports. We present the different phases of our process to populate automatically a proposed ontology with clinical assertions extracted from daily routine SOAP notes. The enriched ontology becomes a reasoning able knowledge base that depicts accurately and realistically the clinical practice represented by the source reports. With this knowledge structure in place and novel state-of-the-art reasoning capabilities, based in consequence driven reasoners, a clinical QA system based in controlled natural language is introduced that reveals breakthrough possibilities regarding the applicability of Artificial Intelligence techniques to the medical field." @default.
- W4239626380 created "2022-05-12" @default.
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- W4239626380 date "2017-01-01" @default.
- W4239626380 modified "2023-09-26" @default.
- W4239626380 title "Clinical Practice Ontology Automatic Learning from SOAP Reports" @default.
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- W4239626380 doi "https://doi.org/10.4018/978-1-5225-2237-9.ch028" @default.
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