DocumentCode :
3511581
Title :
Hybrid clinical decision support system: An automated diagnostic system for rural Bangladesh
Author :
Al Iqbal, Ridwan
Author_Institution :
Dept. of Comput. Sci., American Int. Univ.-Bangladesh (AIUB), Dhaka, Bangladesh
fYear :
2012
fDate :
18-19 May 2012
Firstpage :
76
Lastpage :
81
Abstract :
Rural areas of Bangladesh do not have quality healthcare facilities or doctors. However, Internet is widely available everywhere in the country. A web based Clinical Decision Support System (CDSS) is proposed that will serve the rural medical centers. A Clinical Decision Support System is a software that provides diagnostic suggestions based on input patient data. The system will use Artificial Intelligence technology to use given expert knowledge. The two popular types of decision support system are described, Knowledge-based and Data mining based system. Both have their respective strengths and weaknesses. A hybrid algorithm is proposed that combines the two approaches and attains higher performance. The hybrid algorithm FOCL is highly suitable for decision support. A modified form of FOCL is presented that can also take diagnostic cost into account. Several real world experiments show the advantage of this new hybrid system.
Keywords :
Internet; data mining; decision support systems; health care; knowledge based systems; medical diagnostic computing; telemedicine; artificial intelligence technology; automated diagnostic system; data mining based system; expert knowledge; hybrid algorithm FOCL; hybrid clinical decision support system; input patient data; knowledge-based system; rural Bangladesh; software; web based clinical decision support system; Breast; Cancer; Diabetes; Heart; Lungs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
Type :
conf
DOI :
10.1109/ICIEV.2012.6317526
Filename :
6317526
Link To Document :
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