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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-07-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12879-019-4282-y |