victor369basu/Respiratory-diseases-recognition-through-respiratory-sound-with-the-help-of-deep-neural-network

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.

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This project offers a system to help medical professionals quickly assess a patient's respiratory health. By analyzing audio recordings of a person's breathing, the system identifies if the respiratory system is healthy or suggests the presence of conditions like COPD, pneumonia, or bronchitis. This tool is designed for doctors, nurses, or other healthcare practitioners to aid in preliminary diagnosis.

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Use this if you are a medical professional looking for an automated preliminary screening tool for respiratory conditions based on patient sound recordings.

Not ideal if you require a definitive diagnosis or a tool that incorporates other medical data like imaging or lab results.

respiratory-health medical-diagnosis pulmonology patient-screening sound-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 17 / 25

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Python

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Last pushed

Jun 25, 2021

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