DECODING BREATH: MACHINE LEARNING ADVANCEMENTS IN DIAGNOSING PULMONARY DISEASES VIA LUNG SOUND ANALYSIS
The lung sound signal, a vital physiological parameter in clinical auscultation, holds a wealth of physiological insights crucial for diagnosing and monitoring human health. Traditionally, clinicians heavily rely on subjective experiences to discern the nuances of lung sounds, aiding in the diagnosis of various pulmonary conditions. However, the inherent limitations of subjective judgment may lead … Read more