Visualization in information retrieval from hospital
information system

D 2012

Visualization in information retrieval from hospital information system

BURŠA, M., L. LHOTSKÁ, V. CHUDÁČEK, J. SPILKA, Petr JANKŮ et. al.

Základní údaje

Originální název

Visualization in information retrieval from hospital information system

Autoři

BURŠA, M. (203 Česká republika, garant), L. LHOTSKÁ (203 Česká republika), V. CHUDÁČEK (203 Česká republika), J. SPILKA (203 Česká republika), Petr JANKŮ (203 Česká republika, domácí) a Lukáš HRUBAN (203 Česká republika, domácí)

Vydání

Berlin, Proceedings: 7th International Conference SOCO'12, od s. 459-467, 9 s. 2012

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

30214 Obstetrics and gynaecology

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14110/12:00064001

Organizační jednotka

Lékařská fakulta

ISBN

978-3-642-32921-0

UT WoS

000312974600047

Klíčová slova anglicky

Swarm Intelligence; Ant Colony; Textual Data Mining; Medical Record Processing; Hospital Information System

Změněno: 25. 2. 2013 23:08, Ing. Mgr. Věra Pospíšilíková

Anotace

V originále

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.

Citovat

BURŠA, M., L. LHOTSKÁ, V. CHUDÁČEK, J. SPILKA, Petr JANKŮ a 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, s. 459-467. ISBN 978-3-642-32921-0.

@inproceedings{1088416,
   author = {Burša, M. and Lhotská, L. and Chudáček, V. and Spilka, J. and Janků, Petr and Hruban, Lukáš},
   address = {Berlin},
   booktitle = {Proceedings: 7th International Conference SOCO'12},
   editor = {Snášel, Václav; Abraham, Ajith; Corchado, Emilio S.},
   keywords = {Swarm Intelligence; Ant Colony; Textual Data Mining; Medical Record Processing; Hospital Information System},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Berlin},
   isbn = {978-3-642-32921-0},
   pages = {459-467},
   publisher = {Springer},
   title = {Visualization in information retrieval from hospital information system},
   year = {2012}
}

TY  - JOUR
ID  - 1088416
AU  - Burša, M. - Lhotská, L. - Chudáček, V. - Spilka, J. - Janků, Petr - Hruban, Lukáš
PY  - 2012
TI  - Visualization in information retrieval from hospital information system
PB  - Springer
CY  - Berlin
SN  - 9783642329210
KW  - Swarm Intelligence
KW  - Ant Colony
KW  - Textual Data Mining
KW  - Medical Record Processing
KW  - Hospital Information System
N2  - 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.
ER  -

BURŠA, M., L. LHOTSKÁ, V. CHUDÁČEK, J. SPILKA, Petr JANKŮ a Lukáš HRUBAN. Visualization in information retrieval from hospital information system. Online. In Snášel, Václav; Abraham, Ajith; Corchado, Emilio S. \textit{Proceedings: 7th International Conference SOCO'12}. Berlin: Springer, 2012, s.~459-467. ISBN~978-3-642-32921-0.

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