Parkinson’s Disease Recognition Using Artificial Immune System
نویسندگان
چکیده
منابع مشابه
Parkinson's Disease Recognition Using Artificial Immune System
This work deals the application of the artificial immune system to discriminate between healthy and people with Parkinson’s disease (PWP). As the symptoms of Parkinson’s disease (PD) occur gradually and mostly targeting the elderly people for whom physical visits to the clinic are inconvenient and costly, telemonitoring of the disease using measurements of dysphonia (vocal features) has a vital...
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BACKGROUND There is a high risk of tuberculosis (TB) disease diagnosis among conventional methods. OBJECTIVES This study is aimed at diagnosing TB using hybrid machine learning approaches. MATERIALS AND METHODS Patient epicrisis reports obtained from the Pasteur Laboratory in the north of Iran were used. All 175 samples have twenty features. The features are classified based on incorporatin...
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Artificial Neural Network (ANN)-based diagnosis of medical diseases has been taken into great consideration in recent years. In this paper, two types of ANNs are used to classify effective diagnosis of Parkinson's disease. Multi-Layer Perceptron (MLP) with back-propagation learning algorithm and Radial Basis Function (RBF) ANNs were used to differentiate between clinical variables of sampl...
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ژورنال
عنوان ژورنال: Journal of Software Engineering and Applications
سال: 2011
ISSN: 1945-3116,1945-3124
DOI: 10.4236/jsea.2011.47045