An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds

• Published in: Computers in biology and medicine Vol. 146; p. 105599
• Main Authors: Barua, Prabal Datta, Karasu, Mehdi, Kobat, Mehmet Ali, Balık, Yunus, Kivrak, Tarık, Baygin, Mehmet, Dogan, Sengul, Demir, Fahrettin Burak, Tuncer, Turker, Tan, Ru-San, Acharya, U. Rajendra
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.07.2022; Elsevier Limited
• Subjects: Accuracy; Acoustics; Artificial intelligence; Cardiologic disorders detection; Cardiovascular disease; Classification; Computer applications; Coronary artery disease; Datasets; Deep learning; Diagnosis; Discrete Wavelet Transform; Dual symmetric tree pattern; Echocardiography; Feature extraction; Heart; Heart diseases; Internal Medicine; Iterative methods; Machine learning; Morbidity; Multilevel; Neural networks; Other; Sound; Stethoscope sound classification; Support vector machines; Wavelet transforms; Stethoscope sound classification; Cardiologic disorders detection; Dual symmetric tree pattern; Machine learning

Valvular heart disease (VHD) is an important cause of morbidity and mortality. Echocardiography is the reference standard for VHD diagnosis but is not universally accessible. Manual cardiac auscultation is inadequate for screening VHD. Many machine learning models using heart sounds acquired with an...