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Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care Cover

Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care

Open Access
|Nov 2015

Abstract

This paper presents the results of an on-going research project for knowledge extraction from large corpora of clinical narratives in Bulgarian language, approximately 100 million of outpatient care notes. Entities with numerical values are mined in the free text and the extracted information is stored in a structured format. The Algorithms for retrospective analyses and big data analytics are applied for studying the treatment and evaluating the diabetes compensation and control of arterial blood pressure.

DOI: https://doi.org/10.1515/cait-2015-0055 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 58 - 77
Published on: Nov 26, 2015
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Svetla Boytcheva, Galia Angelova, Zhivko Angelov, Dimitar Tcharaktchiev, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.