• M A Nisam
• Sreeram b kamath
• Rahul A Nair
• Prof. Preethy Roy

Using deep neural networks or deep learning, it is possible to predict respiratory disorders such COPD, URTI, bronchiectasis and pneumonia. We have built an application embedded with a deep neural network model that predicts the state of its respiratory system based on the respiratory sound that is input. It more accurately and precisely classifies not just the aforementioned diseases but also whether or not a person's respiratory system is healthy.

Respiratory disease recognition, Deep neural network,GRU (Gated Recurrent Unit),sound data, data augmentation, feature extraction, classification, COPD(Chronic obstructive pulmonary disease), URTI (Upper Respiratory Tract Infection)

"RESPIRATORY DISEASE RECOGNITION THROUGH RESPIRATORY SOUNDS USING RECURRENT NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.p197-p204, May-2023, Available :http://www.jetir.org/papers/JETIR2305G27.pdf

"RESPIRATORY DISEASE RECOGNITION THROUGH RESPIRATORY SOUNDS USING RECURRENT NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppp197-p204, May-2023, Available at : http://www.jetir.org/papers/JETIR2305G27.pdf