GUI Toolkit for Pulmonologists: Age-Gender Specific Lung Sound Analysis and Disease Identification Using Sequence Modeling

• Published in: 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS) Vol. 1; pp. 1025 - 1032
• Main Authors: Amose, John, P, Manimegalai, S, Pavithra, B, Susmitha, S, Ruth, S, Priyanga
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14.03.2024
• Subjects: Accuracy; Analytical models; Computational modeling; COPD; GRU; Long short term memory; LSTM; Lung; lung sound; MATLAB; Pneumonia; Respiratory diseases; Spectrogram; spectrograms; SVM; time-domain; Transformers; Visualization

The objective diagnosis of respiratory diseases, by observing pathological sounds is a promising area of research in respiratory health. A GUI-based toolkit to aid a pulmonologist in decision-making is presented in this paper. Age and Gender-specificmachine learning models are trained and analyzed i...