dee-ex/aicovidvn115m
Giải pháp của nhóm "đi thi", đạt được Hạng 3 vòng Về đích với AUC 0.92 trong cuộc thi AICovidVN115m
This project provides a system to detect COVID-19 by analyzing cough sounds. You input an audio file of a person coughing, and the system outputs a probability score indicating the likelihood of COVID-19. This tool is designed for healthcare practitioners or researchers interested in non-invasive preliminary screening methods.
No commits in the last 6 months.
Use this if you need a non-invasive, preliminary screening tool to assess the probability of COVID-19 infection based on cough audio, particularly in settings where quick, initial assessments are beneficial.
Not ideal if you require a definitive medical diagnosis, as this tool provides a probabilistic assessment and should not replace clinical testing.
Stars
13
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 06, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dee-ex/aicovidvn115m"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cognizant-ai-labs/covid-xprize
Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic...
LukasHaas/cs329s-covid-prediction
This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough...
WadhwaniAI/cough-against-covid
Code for the Cough Against COVID-19 (CAC) Project by Wadhwani AI
LadyJo02/PulmoScope
AI-assisted lung sound analysis tool using TCN and TCN-SNN deep learning models.
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),...