{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/respiratory-diseases-recognition-through","title":"Respiratory diseases recognition through respiratory sound with the help of deep neural network","arxiv_id":null,"date":"2020-04-30","proceeding":null,"authors":["Victor Basu","Srinibas Rana"],"abstract":"Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision.","url_abs":"https://ieeexplore.ieee.org/document/9080747","url_pdf":"https://ieeexplore.ieee.org/document/9080747","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"respiratory-diseases-recognition-through","repo_url":"https://github.com/victor369basu/Respiratory-diseases-recognition-through-respiratory-sound-with-the-help-of-deep-neural-network","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"lung-disease-classification","task_name":"Lung Disease Classification"},{"task_slug":"lung-sound-classification","task_name":"Lung Sound Classification"}],"methods":[{"method_slug":"gru","method_name":"GRU"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/lung-sound-classification-on-icbhi","task":"Lung Sound Classification","dataset":"ICBHI Respiratory Sound Database","model":"GRU","rank_in_archive_order":3,"of":3,"metrics":{"Accurcay ":"95.7"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}