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This paper presents implemented artificial neural network (ANN) for diagnosing pulmonary tuberculosis progression and dynamics. Tuberculosis is an infectious disease caused in most cases by microorganism, called Mycobacterium tuberculosis. Tuberculosis is a huge problem in most low-income countries, and also in the Balkan region. The design of the artificial neural network is based on two strains...
This paper presents a system for classification of asthma based on fuzzy rules. Fuzzy rules are defined according to Global Initiative for Asthma (GINA) guidelines, as well as through consultations with long-term experience of pulmologists. Our fuzzy system for classification of asthma is based on a combination of spirometry (SPIR) and Impulse Oscillometry System (IOS) test results, which are inputs...
Respiratory diseases can be very difficult to diagnose because their symptoms are sometimes very similar to each other. If we analyze asthma and COPD (Chronic Obstructive Pulmonary Disease), diseases which are targeted in our research, we come to the conclusion that early detection of airway impairment can greatly assist in an early diagnosis. In this paper we present an integrated software suite...
Asthma is a disorder characterized by chronic airway inflammation, airway hypersensitivity to a variety of stimuli, and airway obstruction that is at least partially or even completely reversible. To make correct diagnosis of asthma, diagnosis must be based on typical symptoms of asthma and identification of airway hyper responsiveness (AHR) or variable airway obstruction. In some cases, additionally...
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