Decision Tree Algorithms Predict the Diagnosis and Outcome of Dengue Fever in the Early Phase of Illness
BACKGROUND: Dengue is re-emerging throughout the tropical world, causing frequent recurrent epidemics. The initial clinical manifestation of dengue often is confused with other febrile states confounding both clinical management and disease surveillance. Evidence-based triage strategies that identif...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
2018
|
| Online-Zugang: | https://demo7.dspace.org/handle/123456789/136 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|
Ähnliche Einträge: Decision Tree Algorithms Predict the Diagnosis and Outcome of Dengue Fever in the Early Phase of Illness
- Assessment of Microalbuminuria for Early Diagnosis and Risk Prediction in Dengue Infections
- Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue
- Therapeutics for Dengue: Recommendations for Design and Conduct of Early-Phase Clinical Trials
- An Evidence-Based Algorithm for Early Prognosis of Severe Dengue in the Outpatient Setting
- Early T-cell responses to dengue virus epitopes in Vietnamese adults with secondary dengue virus infections
- An evidence-based algorithm for early prognosis of severe dengue in the outpatient setting.