Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach

Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach

Abstract Background Despite the greater sensitivity of the new dengue clinical classification proposed by the World Health Organization (WHO) in 2009, there is a need for a better definition of warning signs and clinical progression of dengue cases. Classic statistical methods have been used to eval...

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Bibliographic Details
Main Authors: Gleicy Macedo Hair, Flávio Fonseca Nobre, Patrícia Brasil
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Infectious Diseases
Subjects:
Dengue
Age
Clinical classification
Warning signs
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12879-019-4282-y

Internet

http://link.springer.com/article/10.1186/s12879-019-4282-y

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