What is it about?
This work is a part of an automatic diagnostic system to help the transparency between a medical institution and the patient. This also helps to improve the medical facilities for the people in medical void regions or during covid like situations. This work tries to mimic the scenario of the preliminary diagnosis of a doctor towards a patient using the stethoscope. Here we have tried to analyse the different sound signals of the heart and lungs at the neighbouring regions of the organs. This then using the machine learning tries to identify the problem. Also this solution helps the doctor to listen to the signals in any place and take a decision which can be then tracked through an application.
Featured Image
Why is it important?
1. This can help to provide the solution in difficult situations and scenarios 2. This can help in doing conditional monitoring of the health 3. This can help in detecting early health conditions based on the signals
Perspectives
This work is one of my contribution towards the technology and the society to bring a collaboration of the healthcare and the data science.
Nimai Chand Das Adhikari
Read the Original
This page is a summary of: AI-Doctor - A Machine Learning Aided Health Monitoring system by analyzing sound signals, April 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3616901.3616951.
You can read the full text:
Contributors
The following have contributed to this page
