DocumentCode :
176467
Title :
A novel medical assistance system based on data mining
Author :
Jingyuan Dai
Author_Institution :
Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2014
fDate :
29-30 Sept. 2014
Firstpage :
264
Lastpage :
266
Abstract :
In this paper, we design a medical assistance system, which uses a data mining algorithm named improved genetic algorithm (IGA) to extract the proper behavior model according to the target database of the hospital, and develop the clinical pathways based on the behavior model. The quality of the behavior model can be evaluated by the application of the clinical pathways in the clinical diagnosis and treatment activities. To verify the performance of the algorithm, we compared the recall ratio and precision ratio of our algorithm with that of two typical algorithms named Genetic algorithm (GA) and Apriori in the simulation. The result shows that the performance of the IGA is better than the other two algorithms.
Keywords :
data mining; genetic algorithms; hospitals; medical computing; clinical diagnosis; data mining algorithm; improved genetic algorithm; medical assistance system; treatment activities; Algorithm design and analysis; Clinical diagnosis; Data mining; Genetic algorithms; Itemsets; Medical diagnostic imaging; Behavior model; Clinical pathways; Medical assistance system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/WARTIA.2014.6976247
Filename :
6976247
Link To Document :
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