![]() Bohadana A, Azulai H, Jarjoui A, Kalak G, Izbicki G. Sarkar M, Madabhavi I, Niranjan N, Dogra M. Concomitant diagnosis of asthma and COPD: a quantitative study in UK primary care. Nissen F, Morales DR, Mullerova H, Smeeth L, Douglas IJ, Quint JK. Asthma and chronic obstructive pulmonary disease (COPD)–differences and similarities. Cukic V, Lovre V, Dragisic D, Ustamujic A. Asthma in the elderly: can we distinguish it from COPD? J Allergy 2011 2011:1–7. Does pulmonary subspecialty referral from primary care affect the adherence to vaccination recommendations in COPD patients? Respir Res 2021 22 (1):1–4. ![]() Ehteshami-Afshar S, Crothers K, Rodwin B, Bade B, Brandt C, Akgün KM. Burden of asthma and chronic obstructive pulmonary disease and access to essential medicines in low-income and middleincome countries. Beran D, Zar HJ, Perrin C, Menezes AM, Burney P. Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Feigin VL, Roth GA, Naghavi M, Parmar P, Krishnamurthi R, Chugh S, et al. Future endeavours will be based on the validation of this algorithm to distinguish the real-time LS data acquired from asthmatic and COPD patients. Thus, the study confirms the successful differentiation of asthma and COPD based on LS. Using the proposed algorithm, the study discriminates between healthy, asthma and COPD cases based on LS with a considerable classification accuracy of 99.3% using the decision tree (DT) classifier. Various classifiers like support vector machine (SVM), decision tree (DT), k-nearest neighbor (KNN) and discriminant analysis (DA) are accessed to classify healthy, COPD and asthma using WE and WPE features of LS to produce better outcomes. Wavelet entropy (WE) and wavelet packet energy (WPE) features of LS’s are extracted. The LS denoising is carried out using empirical mode decomposition (EMD), Hurst analysis and spectral subtraction method. ![]() The study is conducted on 80 asthma, 80 COPD and 80 healthy LSs. This article presents the implementation of a computerized lung sound (LS) based method to classify asthma and COPD cases. To prevent misdiagnosis, some useful work is highly required. Diagnostic ambiguity between chronic pulmonary diseases like asthma and Chronic Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms, which is the factor responsible for misdiagnosis, leading to heavy deaths every year.
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