https://github.com/codingfabi/coughvid
Project to establish a neural network that detects COVID-19 infections from cough recordings.
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: sciencedirect.com, zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.7%) to scientific vocabulary
Repository
Project to establish a neural network that detects COVID-19 infections from cough recordings.
Basic Info
- Host: GitHub
- Owner: codingfabi
- Language: Jupyter Notebook
- Default Branch: main
- Size: 7.28 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Project description
This is a repository for a project @ Heidelberg University. The goal was to reprocude findings from https://www.sciencedirect.com/science/article/pii/S2352914820303026 on a publicly available dataset. Code and Findings can be found in the jupyter notebooks.
Inital dataset can be found at https://zenodo.org/record/4048312#.YVBQQn1CSUk
Side notes
We edited the notebooks in GoogleColab and therefor uploaded the public dataset to our GoogleDrive and mounted it into the Colab Books. To execute the code, either adjust the directory and file paths or upload the public dataset to a folder called COUGHVID in your GoogleDrive aswell.
Owner
- Login: codingfabi
- Kind: user
- Repositories: 4
- Profile: https://github.com/codingfabi
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