标题：SCALE TO DISEASE PRONENESS (SDP) & SCALE TO DISEASE INEPTNESS (SDI): DESIGN OF HEURISTIC METRICS TO ASSESS HEALTH CONDITION TOWARDS HEART DISEASE PRONENESS
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：82
期号：3
出版社：Journal of Theoretical and Applied
摘要：The early stage diagnostics of heart disease is a challenging task. The interdependent and high complexity characteristics and factors related to heart disease combined with human constraints contribute towards the necessity of intelligent medical systems. In this paper we design heuristic metrics for predicting patterns of heart disease, the Scale to Disease Proneness (SDP) metric and Scale to Disease Ineptness (SDI) metric. The prediction system to be efficient in the performance and the scalability requirements has to select an optimal set of attributes from the data for which in our approach we make use of canonical correlation analysis. The test outcomes shown that the heuristic scales SDP and SDI devised here in this paper delivered optimal performance towards predication accuracy, also scalable and robust in the context of computational and process complexity. The approach tends to deploy easily to focus according to individual risk levels of the disease.
