Abstract
Diabetes is a chronic disease that requires continuous medical care and patient-self management education to prevent acute complications and reduce the risk of long-term complications. The worldwide prevalence and incidence of diabetes mellitus are reached epidemic proportions in most populations. Early detection of diabetes could help to prevent its onset by taking appropriate preventive measures and managing lifestyle. The major objective of this research is to develop an automated decision support system for detection of diabetes using mixture of experts model. The performance of the classification ∙제1저자: 이홍기 ∙교신저자: 명성민 ∙투고일 : 2014. 10. 13. 심사일 : 2014. 11. 3, 게재확정일: 2014. 11. 13. * 중원대학교 경영학과(Department of Management, Jungwon University) ** 중원대학교 의료정보행정학과(Department of Medical Information and Administration, Jungwon University) ※ 이 논문은 중원대학교 교내학술연구비 지원에 의한 것임 150 Journal of The Korea Society of Computer and Information November 2014 algorithms was compared on the Pima Indians diabetes dataset. The result of this study demonstrated that the mixture of expert model achieved diagnostic accuracies were higher than the other automated diagnostic systems. ▸
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of the Korea Society of Computer and Information
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
