Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning

Yibo Zhu; Xiumin Shi; Yan Wang; Yixuan Zhu; Lu Wang

doi:10.1109/CCET59170.2023.10335125

Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning

Yibo Zhu
, Xiumin Shi
, Yan Wang
, Yixuan Zhu
, Lu Wang

信息与电子学院

Beijing Institute of Technology
Wuhan University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

The Coronavirus Disease 2019 (COVID-19) pandemic has severely disrupted the global healthcare and medical system. Although COVID-19 is no longer considered a public health emergency of international concern, it can still cause many infections and even life-threatening conditions. This study aims to reveal novel potential biomarkers of mortality and identify associated mechanisms of death caused by COVID-19 using machine learning approaches to re-analyze metabolomics data. We found that the combination of NG,NG-Dimethyl-L-arginine, 4-Coumaryl alcohol, Pyridoxamine, N1,N12-Diacetylspermine, Coniferyl alcohol, 1-Phosphatidy1-1D-myo-inositol 3-phosphate and sn-Glycero-3-phosphocholine is an effective biomarker for survival prediction of severe COVID-19 patients. These metabolites suggest potential immunomodulatory therapeutic strategies for the treatment of COVID-19.

源语言	英语
主期刊名	2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
页	11-15
页数	5
ISBN（电子版）	9798350340686
DOI	https://doi.org/10.1109/CCET59170.2023.10335125
出版状态	已出版 - 2023
活动	6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023 - Beijing, 中国期限: 4 8月 2023 → 6 8月 2023

出版系列

姓名	2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023

会议

会议	6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023
国家/地区	中国
市	Beijing
时期	4/08/23 → 6/08/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/CCET59170.2023.10335125

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhu, Y., Shi, X., Wang, Y., Zhu, Y., & Wang, L. (2023). Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning. 在 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023 (页码 11-15). (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCET59170.2023.10335125

Zhu, Yibo ; Shi, Xiumin ; Wang, Yan 等. / Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning. 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 11-15 (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023).

@inproceedings{300237f2553e41828bfb03b16bd776b5,

title = "Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning",

abstract = "The Coronavirus Disease 2019 (COVID-19) pandemic has severely disrupted the global healthcare and medical system. Although COVID-19 is no longer considered a public health emergency of international concern, it can still cause many infections and even life-threatening conditions. This study aims to reveal novel potential biomarkers of mortality and identify associated mechanisms of death caused by COVID-19 using machine learning approaches to re-analyze metabolomics data. We found that the combination of NG,NG-Dimethyl-L-arginine, 4-Coumaryl alcohol, Pyridoxamine, N1,N12-Diacetylspermine, Coniferyl alcohol, 1-Phosphatidy1-1D-myo-inositol 3-phosphate and sn-Glycero-3-phosphocholine is an effective biomarker for survival prediction of severe COVID-19 patients. These metabolites suggest potential immunomodulatory therapeutic strategies for the treatment of COVID-19.",

keywords = "COVID-19, biomarkers, machine learning, metabolomics analysis, survival prediction",

author = "Yibo Zhu and Xiumin Shi and Yan Wang and Yixuan Zhu and Lu Wang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023 ; Conference date: 04-08-2023 Through 06-08-2023",

year = "2023",

doi = "10.1109/CCET59170.2023.10335125",

language = "English",

series = "2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "11--15",

booktitle = "2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023",

address = "United States",

}

Zhu, Y, Shi, X, Wang, Y, Zhu, Y & Wang, L 2023, Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning. 在 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023, Institute of Electrical and Electronics Engineers Inc., 页码 11-15, 6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023, Beijing, 中国, 4/08/23. https://doi.org/10.1109/CCET59170.2023.10335125

Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning. / Zhu, Yibo; Shi, Xiumin; Wang, Yan 等.
2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 11-15 (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning

AU - Zhu, Yibo

AU - Shi, Xiumin

AU - Wang, Yan

AU - Zhu, Yixuan

AU - Wang, Lu

PY - 2023

Y1 - 2023

N2 - The Coronavirus Disease 2019 (COVID-19) pandemic has severely disrupted the global healthcare and medical system. Although COVID-19 is no longer considered a public health emergency of international concern, it can still cause many infections and even life-threatening conditions. This study aims to reveal novel potential biomarkers of mortality and identify associated mechanisms of death caused by COVID-19 using machine learning approaches to re-analyze metabolomics data. We found that the combination of NG,NG-Dimethyl-L-arginine, 4-Coumaryl alcohol, Pyridoxamine, N1,N12-Diacetylspermine, Coniferyl alcohol, 1-Phosphatidy1-1D-myo-inositol 3-phosphate and sn-Glycero-3-phosphocholine is an effective biomarker for survival prediction of severe COVID-19 patients. These metabolites suggest potential immunomodulatory therapeutic strategies for the treatment of COVID-19.

AB - The Coronavirus Disease 2019 (COVID-19) pandemic has severely disrupted the global healthcare and medical system. Although COVID-19 is no longer considered a public health emergency of international concern, it can still cause many infections and even life-threatening conditions. This study aims to reveal novel potential biomarkers of mortality and identify associated mechanisms of death caused by COVID-19 using machine learning approaches to re-analyze metabolomics data. We found that the combination of NG,NG-Dimethyl-L-arginine, 4-Coumaryl alcohol, Pyridoxamine, N1,N12-Diacetylspermine, Coniferyl alcohol, 1-Phosphatidy1-1D-myo-inositol 3-phosphate and sn-Glycero-3-phosphocholine is an effective biomarker for survival prediction of severe COVID-19 patients. These metabolites suggest potential immunomodulatory therapeutic strategies for the treatment of COVID-19.

KW - COVID-19

KW - biomarkers

KW - machine learning

KW - metabolomics analysis

KW - survival prediction

UR - https://www.scopus.com/pages/publications/85181062553

U2 - 10.1109/CCET59170.2023.10335125

DO - 10.1109/CCET59170.2023.10335125

M3 - Conference contribution

AN - SCOPUS:85181062553

T3 - 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023

SP - 11

EP - 15

BT - 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023

Y2 - 4 August 2023 through 6 August 2023

ER -

Zhu Y, Shi X, Wang Y, Zhu Y, Wang L. Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning. 在 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 11-15. (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023). doi: 10.1109/CCET59170.2023.10335125

Early Prediction of COVID-19 Patient Survival by Blood Plasma Using Machine Learning

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此