IEEE Computational Intelligence Magazine - November 2020 - 73

The reported work is an emergency study aiming at
COVID-19. We are continuously improving it in the following aspects: (1) using health big-data analytics to enhance the
feature sets and incorporating multi-view learning to improve
clustering; (2) incorporating more TCM knowledge to interactive optimization to reduce the efforts of TCM experts; (3)
combining medical knowledge with machine learning to
evaluate the effects of TCM prevention programs in a more
accurate way. It is expected that the proposed method can be
extended to the prevention and control of more epidemics in
the future.
Acknowledgment

This work was supported by National Natural Science Foundation of China under Grant No. 61872123, Zhejiang Provincial Natural Science Foundation under Grant LR20F030002
and LQY20F030001, and Zhejiang Provincial Emergency
Project for Prevention & Treatment of New Coronavirus
Pneumonia under Grant 2020C03126.
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IEEE Computational Intelligence Magazine - November 2020

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