6533b829fe1ef96bd12896d9
RESEARCH PRODUCT
Natural Language-Based Knowledge Extraction in Healthcare Domain
Edgars Rencissubject
Knowledge extractionComputer sciencebusiness.industryProcess (engineering)Health careWriting processQuery languagebusinessData scienceField (computer science)Natural languageDomain (software engineering)description
There is a growing amount of data in the databases of hospitals. These data could be exploited to alleviate the decision-making process of hospital managers, physicians and researchers. However, these types of end-users often lack the expertise necessary for extracting those data from the database. Several approaches exist in the field of how to allow non-programmers writing queries in a convenient manner, but none of them has yet reached fully satisfactory results. This paper sketches a solution to this problem by introducing means for writing queries in a keywords-containing natural language thus alleviating the query writing process for the end-user. Introducing this approach in the knowledge management system of the organization would greatly benefit the domain experts by allowing them to carry out the decision-making process in a more rapid and less erroneous manner.
year | journal | country | edition | language |
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2019-04-06 | Proceedings of the 2019 3rd International Conference on Information System and Data Mining |