A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics

被引：21

作者：

Zheng, Yichao ^{[1
,4
]}

Zhu, Yinheng ^{[1
,4
]}

Ji, Mengqi ^{[3
,4
]}

Wang, Rongpin ^{[2
]}

Liu, Xinfeng ^{[2
]}

Zhang, Mudan ^{[2
]}

Liu, Jun ^{[5
,6
]}

Zhang, Xiaochun ^{[7
]}

Qin, Choo Hui ^{[1
,4
]}

Fang, Lu ^{[1
,4
]}

Ma, Shaohua ^{[1
,4
]}

机构：

[1] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst TBSI, Shenzhen 518055, Peoples R China

[2] Guizhou Prov Peoples Hosp, Dept Radiol, Guiyang 550002, Peoples R China

[3] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

[4] Tsinghua Univ, Shenzhen Int Grad Sch SIGS, Shenzhen 518055, Peoples R China

[5] Cent South Univ, Xiangya Hosp 2, Dept Radiol, Changsha 410011, Peoples R China

[6] Qual Control Ctr, Dept Radiol, Changsha 410011, Peoples R China

[7] Wuhan Univ, Zhongnan Hosp, Dept Radiol, Wuhan 43000, Peoples R China

来源：

PATTERNS | 2020年 / 1卷 / 06期

基金：

中国国家自然科学基金;

关键词：

COVID-19; DSML 2: Proof-of-Concept: Data science output has been formulated; implemented; and tested for one domain/problem; hospitalization priority; learning-based model;

D O I：

10.1016/j.patter.2020.100092

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The emergence of the novel coronavirus disease 2019 (COVID-19) is placing an increasing burden on healthcare systems. Although the majority of infected patients experience non-severe symptoms and can be managed at home, some individuals develop severe symptoms and require hospital admission. Therefore, it is critical to efficiently assess the severity of COVID-19 and identify hospitalization priority with precision. In this respect, a four-variable assessment model, including lymphocyte, lactate dehydrogenase, C-reactive protein, and neutrophil, is established and validated using the XGBoost algorithm. This model is found to be effective in identifying severe COVID-19 cases on admission, with a sensitivity of 84.6%, a specificity of 84.6%, and an accuracy of 100% to predict the disease progression toward rapid deterioration. It also suggests that a computation-derived formula of clinical measures is practically applicable for healthcare administrators to distribute hospitalization resources to the most needed in epidemics and pandemics.

引用

页数：9

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