Responding to challenge call for machine learning model development in diagnosing respiratory disease sounds
The normal and abnormal sounds from the respiratory system shed great light on medical science by revealing the quality, diseases and changes in people’s lungs. In medicine, this easy and old method, realized by the stethoscope, facilitates the diagnosis of diseases by specialists. This manual meth...
Main Author: | Negin Melek |
---|---|
Format: | Article |
Language: | English |
Published: |
Academy of Cognitive and Natural Sciences
2024-04-01
|
Series: | Journal of Edge Computing |
Subjects: | |
Online Access: | https://acnsci.org/journal/index.php/jec/article/view/679 |
Similar Items
-
Understanding community perceptions, social norms and current practice related to respiratory infection in Bangladesh during 2009: a qualitative formative study
by: Nizame Fosiul A, et al.
Published: (2011-12-01) -
HISET: Hybrid interpretable strategies with ensemble techniques for respiratory sound classification
by: Sunil Kumar Prabhakar, et al.
Published: (2023-08-01) -
Efficient covid19 disease diagnosis based on cough signal processing and supervised machine learning
by: Khaled Bensid, et al.
Published: (2022-12-01) -
Modulation of the cough reflex by GABAA receptors in the caudal ventral respiratory group of the rabbit
by: Elenia eCinelli, et al.
Published: (2012-10-01) -
Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings
by: Mahmoud Aly, et al.
Published: (2022-05-01)