Concepedia

A data-driven interpretable ensemble framework based on tree models for forecasting the occurrence of COVID-19 in the USA

Hu-Li Zheng, Shu-Yi An, Baojun Qiao, Peng Guan, Desheng Huang, Wei Wu

Environmental Science and Pollution Research · 2022 · 20 citations · 33 references

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References

33

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Clinical Characteristics of Coronavirus Disease 2019 in China

Wei‐jie Guan, Zhengyi Ni, Yu Hu et al. · New England Journal of Medicine · 2020 · 31.2K citations · Full text

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From local explanations to global understanding with explainable AI for trees

Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence · 2020 · 8.9K citations · Full text

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Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China

Ling Mao, Huijuan Jin, Mengdie Wang et al. · JAMA Neurology · 2020 · 7.4K citations · Full text

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A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

Thomas Hale, Noam Angrist, Rafael Goldszmidt et al. · Nature Human Behaviour · 2021 · 4.8K citations · Full text

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