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Natural Language-Based Knowledge Extraction in Healthcare Domain

Published: 06 April 2019 Publication History
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  • 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.

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    Cited By

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    • (2022)Method and Models of Extraction of Knowledge from Medical DocumentsМетоды и модели извлечения знаний из медицинских документовInformatics and AutomationИнформатика и автоматизация10.15622/ia.21.6.421:6(1169-1210)Online publication date: 24-Nov-2022
    • (2020)Knowledge Extraction from Healthcare Data Using User-Adaptable Keywords-Based Query LanguageProceedings of the 2020 the 4th International Conference on Information System and Data Mining10.1145/3404663.3406876(128-131)Online publication date: 15-May-2020

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    cover image ACM Other conferences
    ICISDM '19: Proceedings of the 2019 3rd International Conference on Information System and Data Mining
    April 2019
    251 pages
    ISBN:9781450366359
    DOI:10.1145/3325917
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • University of Houston

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    Published: 06 April 2019

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    Author Tags

    1. Natural language processing
    2. hospital management
    3. keywords-containing text
    4. knowledge extraction
    5. query language
    6. query translation

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    • (2022)Method and Models of Extraction of Knowledge from Medical DocumentsМетоды и модели извлечения знаний из медицинских документовInformatics and AutomationИнформатика и автоматизация10.15622/ia.21.6.421:6(1169-1210)Online publication date: 24-Nov-2022
    • (2020)Knowledge Extraction from Healthcare Data Using User-Adaptable Keywords-Based Query LanguageProceedings of the 2020 the 4th International Conference on Information System and Data Mining10.1145/3404663.3406876(128-131)Online publication date: 15-May-2020

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