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In this study, we introduces a classification approach using Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm and a feature selection algorithm along with biomedical test values to diagnose heart disease. Clinical diagnosis is done mostly by doctor's expertise and experience. But still cases are reported of wrong diagnosis and treatment. Patients are asked to take number of tests...
In order to classify the disease from the clinical database, according to the characteristic of disease in rough relational databases, a method to classify the disease was put forward. Firstly, to collect the disease symptom model information table from the clinical database; secondly, symptom typical characterizing using accuracy; thirdly, classify the disease based on a novel rough distance. The...
Early and accurate diagnosing of various diseases has proved to be of vital importance in many health care processes. In recent years intelligent systems have been often used for decision support and classification in many scientific and engineering disciplines including health care. However, in many cases the proposed treatment, prediction or diagnose can differ from one intelligent system to another,...
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