Paper Info
Title
Visualization in Information Retrieval from Hospital Information System.
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 similar to 50,000-120,000 records x 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.
Year
DOI
Venue
2012
10.1007/978-3-642-32922-7_47
SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS
Keywords
Field
DocType
Swarm Intelligence,Ant Colony,Textual Data Mining,Medical Record Processing,Hospital Information System
Czech,Information retrieval,Visualization,Computer science,Artificial intelligence,Typographical error,Hospital information system,Machine learning,Syntax error,Goto,Table (database)
Conference
Volume
ISSN
Citations 
188
2194-5357
0
PageRank 
References 
Authors
0.34
5
6
Name
Order
Citations
PageRank
Miroslav Bursa1387.70
Lenka Lhotská210930.24
Václav Chudácek3357.32
Jirí Spilka4669.21
Petr Janku5536.45
Lukas Hruban6111.42