Abstract
In 16 operation settings, the effects of humidity, filter capacity, and air volume change on numbers of infections were tested, both traditionally, and with the help of machine learning.
Traditional efficacy analysis was composed of
Poisson statistics,
z-tests.
Machine learning efficacy analysis was composed of evolutionary-operation methods.
The machine learning methods provided better sensitivity of testing, and were more informative.
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Cleophas, T.J., Zwinderman, A.H. (2019). Evolutionary-Operations for Efficacy Analysis. In: Efficacy Analysis in Clinical Trials an Update. Springer, Cham. https://doi.org/10.1007/978-3-030-19918-0_6
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DOI: https://doi.org/10.1007/978-3-030-19918-0_6
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