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Call for Papers:Vol.11 Issue.3

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Title: :  RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING
PaperId: :  20115
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20115
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Parkavi BKIT-Kalaignarkarunanidhi Institute of Technology
Pandiarajan SKIT-Kalaignarkarunanidhi Institute of Technology
Senthil Kumar JKIT-Kalaignarkarunanidhi Institute of Technology
RamKumar AKIT-Kalaignarkarunanidhi Institute of Technology

Abstract

Computer Engineering
Respiratory Sound, Voice Analytics, Respiratory Diseases, Cough Sound, Machine Learning, Spectrogram, Convolutional Neural Networks
Based on sounds that people make, like their voice, dry cough, and breath, the models that are based on Machine Learning (ML) were used in the real world to identify a number of diseases. Using the CNN (Convolutional Neural Network), AI-based machines can solve numerous real-world issues. A modified Convolutional Neural Network (DCNN) that will outperform previous models has been proposed and implemented for automatic disease diagnosis based on human respiratory sounds like voice, dry cough, and breath. Human sounds fall into two main categories: speech sounds and non-speech sounds. The proposed methodology takes into account the non-speech human sounds of laughter, scream, sneeze, and snore. Coughing is a common symptom of many diseases. It is helpful to take into consideration both the type of cough and the sound it makes when diagnosing a disease. We demonstrated that AI algorithms can identify and diagnose COVID19, pertussis, pneumonia, pulmonary enema, asthma, and tuberculosis (TB) using the cough symptom. Additionally, we discovered the various approaches that yielded the most accurate diagnoses of respiratory conditions using cough samples. Consequently, we develop a machine learning architecture for the proposed system's disease classification based on human sounds..

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IJARIIE Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. "RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 505-509
MLA Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. "RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 505-509.
APA Parkavi B, Pandiarajan S, Senthil Kumar J, & RamKumar A. (2023). RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 505-509.
Chicago Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. "RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 505-509.
Oxford Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. 'RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 505-509. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/RESPIRATORY_SOUND_BASED_DISEASE_DETECTION_SYSTEM_USING_MACHINE_LEARNING_ijariie20115.pdf (Accessed : 01 January 2024).
Harvard Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. (2023) 'RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 505-509IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/RESPIRATORY_SOUND_BASED_DISEASE_DETECTION_SYSTEM_USING_MACHINE_LEARNING_ijariie20115.pdf (Accessed : 01 January 2024)
IEEE Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A, "RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 505-509, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/RESPIRATORY_SOUND_BASED_DISEASE_DETECTION_SYSTEM_USING_MACHINE_LEARNING_ijariie20115.pdf [Accessed : 01 January 2024].
Turabian Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. "RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (01 January 2024).
Vancouver Parkavi B, Pandiarajan S, Senthil Kumar J, and RamKumar A. RESPIRATORY SOUND BASED DISEASE DETECTION SYSTEM USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 01 January 2024]; 9(3) : 505-509. Available from: https://ijariie.com/AdminUploadPdf/RESPIRATORY_SOUND_BASED_DISEASE_DETECTION_SYSTEM_USING_MACHINE_LEARNING_ijariie20115.pdf
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