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Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports
OBJECTIVE: Compare 7 machine learning algorithms with an expert constructed Bayesian network on detection of patients with influenza syndrome. INTRODUCTION: Early detection of influenza outbreaks is critical to public health officials. Case detection is the foundation for outbreak detection. Previou...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
University of Illinois at Chicago Library
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692886/ |