A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)

• Published in: 2020 IEEE International Conference on Big Data (Big Data) pp. 3803 - 3810
• Main Authors: Rahman, Abrar, Kriak, John, Meyer, Rick, Goldblatt, Sidney, Rahman, Fuad
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.12.2020
• Subjects: Big data; Clustering; Coronavirus; Correlation; COVID-19; Data models; Healthcare; Machine learning; Modeling; Natural language processing; Storms

This paper presents a targeted, machine learning based solution to model the phenomenon known as the 'cytokine storm,' which is suspected to play a major role in explaining the highly variable severity of COVID-19 among patients. It describes how a Natural Language Processing (NLP) approac...