The diagnosis of dengue in patients presenting with acute febrile illness using supervised machine learning and impact of seasonality
Background: Symptomatic dengue infection can result in a life-threatening shock syndrome and timely diagnosis is essential. Point-of-care tests for non-structural protein 1 and IgM are used widely but performance can be limited. We developed a supervised machine learning model to predict whether pat...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| 其他作者: | |
| 格式: | Journal article |
| 语言: | English |
| 出版: |
Frontiers Media
2022
|