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Author Spotlight: Developing a Microfluidic Lung-on-Chip Model for In-Depth Study of Human Immune Response and Infection Mechanisms
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机器学习在预测严重急性呼吸道感染爆发中的作用

Amauri Duarte da Silva1, Marcelo Ferreira da Costa Gomes2, Tatiana Schäffer Gregianini3

  • 1Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brasil.

Cadernos de saude publica
|January 10, 2024
PubMed
概括

机器学习模型准确地预测严重急性呼吸道感染 (SARI) 爆发,包括高峰时间和病例数量. 这些工具有助于为SARI季节规划医疗保健资源.

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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