呼吸器学および臨床研究ジャーナル

抽象的な

Computerized lung sounds intelligent diagnosis of chronic obstructive pulmonary disease.

Jawad Khan*

Chronic obstructive pulmonary disease (COPD) is an ongoing respiratory illness that genuinely undermines individuals' wellbeing, with high horribleness and mortality around the world. As of now, the clinical analysis techniques for COPD are tedious, obtrusive, and radioactive. Along these lines, it is critical to foster a painless and quick COPD seriousness finding strategy reasonable for day to day separating clinical practice. Analytic uncertainty between persistent aspiratory infections like asthma and Chronic Obstructive Pulmonary Disease (COPD) is exceptionally high, as they display comparable side effects, which is the component answerable for misdiagnosis, prompting weighty passings consistently. To forestall misdiagnosis, some helpful work is profoundly required. This article presents the execution of a modernized lung sound (LS) based technique to characterize asthma and COPD cases.

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