JiaxingQiu / FAIRStream

Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.

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FAIRStream

Copyright 2022 by the Rector and Visitors of the University of Virginia

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

About this package

  • FAIRStream is a Data Science software, integrating FAIRness principle with Medical AI.
    • The software is developed to automate Multi-Variate Time Series Data Analysis, Statistical Modeling and Deep Learning processes in Medicine studies centered around longitudinal data.
  • Languages:
    • Python
    • R
    • SQL

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About

Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.

License:MIT License


Languages

Language:Jupyter Notebook 99.0%Language:Python 1.0%