Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters

Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters

Abstract Background Immune and inflammatory dysfunction was reported to underpin critical COVID-19(coronavirus disease 2019). We aim to develop a machine learning model that enables accurate prediction of critical COVID-19 using immune-inflammatory features at admission. Methods We retrospectively c...

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Bibliographic Details
Main Authors: Yue Gao, Lingxi Chen, Jianhua Chi, Shaoqing Zeng, Xikang Feng, Huayi Li, Dan Liu, Xinxia Feng, Siyuan Wang, Ya Wang, Ruidi Yu, Yuan Yuan, Sen Xu, Chunrui Li, Wei Zhang, Shuaicheng Li, Qinglei Gao
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Journal of Intensive Care
Subjects:
COVID-19
Critical illness
Machine learning
Immune-inflammatory parameters
Online model
Online Access:https://doi.org/10.1186/s40560-021-00531-1

Internet

https://doi.org/10.1186/s40560-021-00531-1

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