Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal: Journal of infection and public health

PMID: 30979679

Abstract

BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been a major cause of concern. This paper aims at identifying the major factors influencing MERS recovery in KSA.

Authors

Maya John

Department of Computer Science and Engineering, Sree Buddha College of Engineering, Pathanamthitta, Kerala, India. Electronic address: maya.j.mail@gmail.com.
Hadil Shaiba

Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Electronic address: hadil.shaiba@gmail.com.

Keywords

Adolescent Adult Aged Bayes Theorem Child Child, Preschool Coronavirus Infections Female Health Personnel Humans Infant Machine Learning Male Middle Aged Middle East Respiratory Syndrome Coronavirus Multivariate Analysis Regression Analysis Saudi Arabia Severity of Illness Index Support Vector Machine Survival Young Adult

External Resources

View on PubMed Access via DOI PubMed (30979679)

Main factors influencing recovery in MERS Co-V patients using machine learning.

Abstract

Authors

Keywords

External Resources

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