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About 50% of the patients diagnosed with heart failure die within four years. At the same time, a rise in home telemonitoring of these patients can be observed. For its successful deployment, predicting if a heart failure patient could die within a certain period of time is an important task. An investigation of an alternating decision tree employed for(More)
Classification rules are an important tool for discovering knowledge from databases. Integrating fuzzy logic algorithms into databases allows us to reduce uncertainty which is connected with data in databases and to increase discovered knowledge's accuracy. In this paper, we analyze some possible variants of making classification rules from a given fuzzy(More)
Cardiovascular decision support is one area of increasing research interest. Ongoing collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on clinical records. A fuzzy rule-based system for risk estimation of cardiovascular patients is proposed. It(More)
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(More)
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(More)
– Heart failure is one of the severe diseases which menace the human health and affect millions of people. Half of all patients diagnosed with heart failure die within four years. For the purpose of avoiding life-threatening situations and minimizing the costs, it is important to predict mortality rates of heart failure patients. As part of a HEIF-5(More)