Predicting Sepsis in the Intensive Care Unit (ICU) through Vital Signs using Support Vector Machine (SVM)

Zeina Rayan; Marco Alfonse; Abdel-Badeeh M. Salem

Journal ArticleOPEN ACCESS

Predicting Sepsis in the Intensive Care Unit (ICU) through Vital Signs using Support Vector Machine (SVM)

Rayan Z
Alfonse M
Salem A

The Open Bioinformatics Journal (2021) 14(1) 108-113

DOI: 10.2174/18750362021140100108

4Citations

11Readers

Abstract

… Predicting sepsis can be accurately performed using the main vital signs and support vector machine. Keywords: Sepsis prediction, Machine learning, Artificial intelligence, Intensive care unit, Medical informatics, Smart health. Article Information. Identifiers and Pagination …

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CITATION STYLE

APA

Rayan, Z., Alfonse, M., & Salem, A.-B. M. (2021). Predicting Sepsis in the Intensive Care Unit (ICU) through Vital Signs using Support Vector Machine (SVM). The Open Bioinformatics Journal, 14(1), 108–113. https://doi.org/10.2174/18750362021140100108

Predicting Sepsis in the Intensive Care Unit (ICU) through Vital Signs using Support Vector Machine (SVM)

Abstract

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