Multi-omics and immune cells’ profiling of COVID-19 patients for ICU admission prediction: in silico analysis and an integrated machine learning-based approach in the framework of Predictive, Preventive, and Personalized Medicine-Reference-Cited by-同舟云学术

Multi-omics and immune cells’ profiling of COVID-19 patients for ICU admission prediction: in silico analysis and an integrated machine learning-based approach in the framework of Predictive, Preventive, and Personalized Medicine

Published:2023-02-21 Issue:1 Volume:14 Page:101-117
ISSN:1878-5085
Container-title:EPMA Journal
language:en
Short-container-title:EPMA Journal

Author:

Zhu Kun,Chen Zhonghua,Xiao Yi,Lai Dengming,Wang Xiaofeng,Fang Xiangming,Shu Qiang

Funder

This research was supported by Zhejiang University special scientific research fund for COVID-19 prevention and control.

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Foundation for The Top-Notch Youth Talent Cultivation Project of Independent Design Project of National Clinical Research Center for Child Health

Special Fund for the Incubation of Young Clinical Scientist, The Children's Hospital of Zhejiang University School of Medicine

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry (medical),Health Policy,Drug Discovery

Link

https://link.springer.com/content/pdf/10.1007/s13167-023-00317-5.pdf

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