https://github.com/catg-umag/review-long-covid-ml
Support repository for review "The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management"
Science Score: 23.0%
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
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: frontiersin.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 (4.6%) to scientific vocabulary
Keywords
long-covid
machine-learning
review
Last synced: 10 months ago
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Support repository for review "The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management"
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- Stars: 0
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Topics
long-covid
machine-learning
review
Created over 3 years ago
· Last pushed about 3 years ago
https://github.com/catg-umag/review-long-covid-ml/blob/main/
# 10.3389/fpubh.2023.1140353 support repository This is the code / data repository for [The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management](https://www.frontiersin.org/articles/10.3389/fpubh.2023.1140353/full) (Frontiers in Public Health). ## What does it contain? - In the `case_processing` directory is the code used for the cases studied in the review. - In the `figures` directory is the code used for the data-generated figures. ## Dependencies / Acknowledgements - Python packages: tensorflow, scikit-learn, scipy, numpy, pandas, joblib, matplotlib, seaborn - R packages (Figure 4 only): tidyverse, circlize