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Heart disease classification is one of the most important topics in clinical decision support systems (CDSS). However, the performance of classification is greatly affected by feature selection. Canonical correlation analysis (CCA) is a popular method to extract effective features from two relevant data sets. In this paper, we employ discriminant minimum class locality preserving canonical correlation...
With the development of machine learning techniques, artificial intelligence applications in medicine are becoming hot topic in health information systems. In this research, we construct a new basic heart failure disease database which contains 1715 patients and 400 features. Then, we propose a new machine learning method called Polynomial Smooth Support Vector Machine(PSSVM) to help doctors diagnose...
Chronic disease is a class of diseases which seriously threatens the health of our residents, it has become a major public health problem affecting the economic and social development of the country. And these chronic diseases are mostly old age diseases, age is an important risk factor. In this paper, we construct four double well basic functions, and aim at minimizing the segmental fitting error,...
Heart failure (HF), the terminal stage of all kinds of cardiovascular disease, has a high level of morbidity and mortality. But the heavy burden of curing and managing HF can be largely reduced by early detection of it. Motivated by this problem, we study methods to determine its risk factors based on extreme learning machine (ELM). Several state-of-the-art data mining algorithms are employed to estimate...
In order to explore the dynamic process of the trust mechanism of the Internetware entities, this paper proposes a self-organizing trust model of the Internetware by means of the replicated dynamic equation based on the Wright-Fisher process, and analyzes the evolutionary direction and the stability of the Internetware system by establishing the incentive and punitive mechanism. This kind of self-organizing...
Based on the stress reaction model, this paper analyzes the start mechanism. The methods include: 1) taking the inhibition chain in the model as the flexible resource. When intruded, it can be used to scan for the reply plan; 2) when finding the programming solution, and starting a reply plan, it can be used to inhibit the system's excessive reaction. Therefore, it extremely utilizes the limited resource,...
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