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Webpages can be faked easily nowadays and as there are many internet users, it is not hard to find some becoming victims of them. Simultaneously, it is not uncommon these days that more and more activities such as banking and shopping are being moved to the internet, which may lead to huge financial losses. In this paper, a developed Chrome plugin for data mining-based detection of phishing webpages...
As a result of the rapid increase in the access of internet and modern technologies by end-users, there are more and more children getting in touch with them at a very early age. Often this contact is uncontrolled and therefore this phenomenon is considered negative by the society. A great deal of time spent on screens is dedicated to playing digital games on various platforms. Therefore, this paper...
Online social networks have billions of users worldwide when combined and they still keep increasing this amount. Their users typically develop trust relationships with the accounts of other users. But large numbers of users and potential gains from abuses of the trust relationships have attracted the attention of cyber-criminals. Therefore, it is important to stop accounts from being compromised...
The aim of this study is to improve a fuzzy rule based system that helps to manage heart failure patients in home telemonitoring. The system is intended to give notifications to a decision-making support system and medical experts when there is a possibility of death for a telemonitored patient. The improvement consists in inclusion of a formulated dissimilarity measure into the algorithm for creation...
A leading cause of hospital admission in the elderly is heart failure and it is considered a major financial burden since the hospitalization costs are high. This is intensified with a lack of medical professionals due to a continuing significant increase of patients with heart failure as a result of obesity, diabetes and aging population. Integration of an intelligent decision support system into...
Patients with heart failure often suffer disabling symptoms. In addition to these symptoms, half of all patients diagnosed with heart failure die within four years. The prevalence of heart failure is currently about 2%–3% of the adult population and it is expected to grow. It is interesting to predict if a patient with heart failure dies soon so that life-threatening situations and costs are minimized...
As a consequence of aging population and an increasing prevalence of obesity and diabetes there are more and more patients with heart failure. This leads to a lack of professionals who can treat them and to escalating costs. An interesting solution appears to be home telemonitoring with an intelligent clinical decision support system. In this paper, the use of cumulative information estimations for...
The prevalence of heart failure is 2-3% of the adult population and it is expected to grow. Half of all patients diagnosed with it die within four years. To minimize life-threatening situations and to minimize costs, it is interesting to predict mortality rates for a patient with heart failure. In this paper, a fuzzy decision tree based on classification ambiguity and a fuzzy decision tree based on...
The prevalence of heart failure is 2-3% of the adult population and it is expected to grow. Half of all patients diagnosed with it die within four years. To minimize life-threatening situations and to minimize costs, it is interesting to predict mortality rates for a patient with heart failure. In this paper, a fuzzy decision tree based on classification ambiguity and a fuzzy decision tree based on...
Heart failure is one of the severe diseases which menace the human health and affectmillions of people. Half of all patients diagnosed with heart failure die within four years. For thepurpose of avoiding life-threatening situations and minimizing the costs, it is important to predictmortality rates of heart failure patients. As part of a HEIF-5 project, a data mining study wasconducted aiming specifically...
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