@inproceedings{839ce42742d04261a1eca978bd2b699b,
title = "Natural language-based knowledge extraction in healthcare domain",
abstract = "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.",
keywords = "Containing text",
author = "Edgars Rencis",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 3rd International Conference on Information System and Data Mining, ICISDM 2019 ; Conference date: 06-04-2019 Through 08-04-2019",
year = "2019",
month = apr,
day = "6",
doi = "10.1145/3325917.3325948",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "138--142",
booktitle = "Proceedings of 3rd International Conference on Information System and Data Mining, ICISDM 2019",
address = "United States",
}