<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

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

Institute of Information and Communication Technologies, BAS, Sofia, Bulgaria

Medical University Sofia, University Specialised Hospital for Active Treatment of Endocrinology, Sofia, Bulgaria

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This paper presents the results of an on-going research project for knowledge extraction from large corpora of clinical narratives in Bulgarian language,...

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

Online veröffentlicht: 26. Nov. 2015

Seitenbereich: 58 - 77

DOI: https://doi.org/10.1515/cait-2015-0055

Schlüsselwörter
Medical Informatics, Big Data, Text Mining, Information Extraction, Natural Language Processing

© by Svetla Boytcheva

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Online veröffentlicht: 26. Nov. 2015

Seitenbereich: 58 - 77

DOI: https://doi.org/10.1515/cait-2015-0055

SchlüsselwörterMedical Informatics, Big Data, Text Mining, Information Extraction, Natural Language Processing

© by Svetla Boytcheva

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Medical Informatics, Big Data, Text Mining, Information Extraction, Natural Language Processing