The code accompanies the paper "Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression".

Overview

Clustering_Comorbidity_Progression

The code accompanies the paper "Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression". If you wish to use or cite this code, please cite the paper:

@article{lu2021clustering,
title={Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression},
author={Lu, Yajun and Chen, Suhao and Miao, Zhuqi and Delen, Dursun and Gin, Andrew},
journal={Decision Support Systems},
volume={148},
pages={113583},
year={2021},
publisher={Elsevier}
}

Acknowledgments

The authors gratefully acknowledge Cerner Corporation for sharing Health Facts® EHR database to support this research. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Cerner Corporation. We adapted certain Python code shared by Alexander Veremyev to plot Figs. 6 and 7; his help with the code is highly appreciated.

Terms and Use:

MIT License

Copyright (c) 2022 Yajun Lu, Suhao Chen, and Zhuqi Miao.

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.

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