Title :
Medical Decision Support System for the missing data using Data mining
Author :
Taranath, N.L. ; Patil, Shanthakumar B. ; Patil, Premajyothi ; Subbaraya, C.K.
Author_Institution :
Adichunchanagiri Inst. of Technol., Chikmagalur, India
Abstract :
Medical Decision Support System (MDSS) maps the patient information in to the promising diagnostic and treatment paths. This paper presents a novel framework for a medical decision support system that integrates knowledge-based and learning-based systems to provide a robust solution to the medical information challenge in the presence of partial information. It is suitable for healthcare professionals like Doctors, nurses, and other medical staff. It can be adapted for use with many different end-user interfaces including desktop applications, web-based browser applications, and mobile applications. In this paper, we discuss a concrete design and implementation of the Integrated Medical Decision Support System to assist in clinical decisions regarding the prescription of drugs. In addition we incorporate horizontal aggregations in SQL to prepare datasets for Data mining analysis.
Keywords :
SQL; data mining; decision support systems; knowledge based systems; learning (artificial intelligence); medical information systems; patient diagnosis; patient treatment; MDSS; SQL; Web-based browser applications; clinical decisions; data mining analysis; datasets; desktop applications; diagnostic paths; drugs prescription; end-user interfaces; integrated medical decision support system; knowledge-based systems; learning-based systems; medical information challenge; missing data; mobile applications; patient information; treatment paths; Cancer; Layout; Medical diagnostic imaging; Aggregations; Data Mining; Knowledge-based systems; Learning-based systems; MDSS; SQL;
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
DOI :
10.1109/ICECCT.2015.7226038
