DocumentCode :
1854537
Title :
A study for anaesthesia methods in total knee arthroplasties based on data mining
Author :
Tu, Sheng-Chung ; Wu, Chih-Cheng ; Hung, Chih-Jen ; Chen, Shian, Jr.
Author_Institution :
Dept. of Comput. Sci. & Inf., Hungkuang Univ., Taichung, Taiwan
Volume :
1
fYear :
2010
fDate :
1-3 Aug. 2010
Abstract :
This study analyzes the anesthesia manner about attributes the knee replacement surgery from Taiwan NHI (National Health Insurance) database based on cluster and association technique. This study used the National Health Insurance drug items selected narcotic agents, and then encoded with the health care doctors in bringing all the information associated with drugs, after data calibration and debugging, further details with the hospital files and data files associated with medical institutions, and then screening outpatient data, analyzing the distribution of anesthesia options. The results from this study will be able to see a knee replacement surgery for the choice of anesthesia in the domestic distribution of property and with the hospital, patients and doctors attribute the correlation among attributes.
Keywords :
data mining; health care; medical information systems; medicine; surgery; Taiwan NHI; anaesthesia methods; data mining; knee replacement surgery; national health insurance drug items; total knee arthroplasties; Anesthesia; Databases; Hospitals; Insurance; Knee; Surgery; Data Mining; Total Knee Arthroplasty (TKA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7679-4
Electronic_ISBN :
978-1-4244-7681-7
Type :
conf
DOI :
10.1109/ICEIE.2010.5559838
Filename :
5559838
Link To Document :
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