Sound-based System for Pharyngeal Disease Diagnosis
Technical framework
Application Scenarios
Description
- Our Sound-based system for pharyngeal disease diagnosis utilises a sound collection system to gather patient data, which is then processed through a data pre-processing step that includes denoising. The system uses machine learning to train a diagnosis model based on deep learning, allowing for the automatic identification of pharyngeal diseases based on the relationship between sound and pharyngeal lesions.
Application Scenarios
- This system addresses the issue of time-consuming mechanical diagnoses, such as voice listening and blood tests, which can reduce the efficiency of doctors and limit the effectiveness of traditional diagnosis methods. By utilising collected sound data for online self-diagnosis, the system provides convenience for patients and is in line with the trend of smart living. It can be used in the treatment process with doctors or for self-diagnosis and provide information such as the possible type, degree, and location of lesions, reducing the difficulty and cost of patient visits and hospital operations.
