BURŠA, M., L. LHOTSKÁ, V. CHUDÁČEK, J. SPILKA, Petr JANKŮ and Lukáš HRUBAN. Visualization in information retrieval from hospital information system. Online. In Snášel, Václav; Abraham, Ajith; Corchado, Emilio S. Proceedings: 7th International Conference SOCO'12. Berlin: Springer, 2012, p. 459-467. ISBN 978-3-642-32921-0.
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Basic information
Original name Visualization in information retrieval from hospital information system
Authors BURŠA, M. (203 Czech Republic, guarantor), L. LHOTSKÁ (203 Czech Republic), V. CHUDÁČEK (203 Czech Republic), J. SPILKA (203 Czech Republic), Petr JANKŮ (203 Czech Republic, belonging to the institution) and Lukáš HRUBAN (203 Czech Republic, belonging to the institution).
Edition Berlin, Proceedings: 7th International Conference SOCO'12, p. 459-467, 9 pp. 2012.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 30214 Obstetrics and gynaecology
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14110/12:00064001
Organization unit Faculty of Medicine
ISBN 978-3-642-32921-0
UT WoS 000312974600047
Keywords in English Swarm Intelligence; Ant Colony; Textual Data Mining; Medical Record Processing; Hospital Information System
Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 25/2/2013 23:08.
Abstract
This paper describes the process of mining information from loosely structured medical textual records with no apriori knowledge. The typical patient record is filled with typographical errors, duplicates, ambiguities, syntax errors and many (nonstandard) abbreviations. In the paper we depict the process of mining a large dataset of ~50,000–120,000 records 20 attributes in database tables, originating from the hospital information system (thanks go to the University Hospital in Brno, Czech Republic) recording over 11 years. The proposed technique has an important impact on reduction of the processing time of loosely structured textual records for experts. Note that this project is an ongoing process (and research) and new data are irregularly received from the medical facility, justifying the need for robust and fool-proof algorithms.
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