On the application of advanced machine learning methods to analyze enhanced, multimodal data from persons infected with COVID-19
GitHub Repository containing data and code for paper published in computation journal: https://www.mdpi.com/2079-3197/9/1/4/htm
The additional files mentioned in the paper and other files that used or processed in model development are present in the data directory of this git, further description is provided in the respective directory README.md.
Python scripts were used to generate and process data, all the scripts are present in the script directory. Further, instruction to use them are provided in the respective the directory README.md
Publication can be accessed at: https://www.mdpi.com/2079-3197/9/1/4/htm
preprint:https://www.biorxiv.org/content/10.1101/2020.07.08.193144v1.full
For citing code and data please use the citation below.
@Article{wenhaun2021,
AUTHOR = {Zeng, Wenhuan and Gautam, Anupam and Huson, Daniel H.},
TITLE = {On the Application of Advanced Machine Learning Methods to Analyze Enhanced, Multimodal Data from Persons Infected with COVID-19},
JOURNAL = {Computation},
VOLUME = {9},
YEAR = {2021},
NUMBER = {1},
ARTICLE-NUMBER = {4},
URL = {https://www.mdpi.com/2079-3197/9/1/4},
ISSN = {2079-3197},
DOI = {10.3390/computation9010004}
}