Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2862 2019 2019 Professor, School of Allied Health Sciences, Galgotias University. Greater Noida, India Shagun Shagun Professor cum Dean, Galgotias School of Nursing, Galgotias University, Greater Noida, India Lekha .. Clinical & Nursing Informatics Specialist, CDAC, Pune Suresh Kumar .. Professor cum Dean, Faculty of Nursing, SGT University, Gurugram- 122505- India Sunil Kumar Dular Professor, Bharati Vidyapeeth College of Nursing, Pune, Maharashtra, India Rupali Salvi This research introduces a novel approach to intelligent IoT-based audio signal processing for healthcare applications. Leveraging advanced feature extraction techniques such as Mel-Frequency Cepstral Coefficients (MFCC) and Wavelet Transform, combined with sophisticated classification models like Convolutional Neural Networks (CNNs) and Support Vector Machines (SVMs), the proposed method demonstrates superior performance in accurately classifying healthcare data. Through extensive experimentation and analysis, the method achieves high accuracy, precision, recall, and F1 score, while exhibiting robustness in discriminating between different classes and maintaining precision in classification, as evidenced by its high AUC-ROC and AUC-PR values. The ablation study provides insights into the significance of key components and parameters, offering guidance for further refinement and optimization of the method. Overall, the proposed method holds promise for revolutionizing healthcare management through proactive monitoring and intervention, leading to improved patient outcomes and healthcare delivery. 2024 2024 83 98 10.54216/JISIoT.130107 https://www.americaspg.com/articleinfo/18/show/2862