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Updated: Jul 5, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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尼日利亚拉萨热病例和死亡率:量子回归与机器学习模型对比

T K Samson1, O Aromolaran2, T Akingbade1

  • 1Statistics Programme, College of Agriculture, Engineering and Science.

Journal of public health in Africa
|January 23, 2024
PubMed
概括

尼日利亚的拉萨热病 (LF) 建模显示,量子回归最好预测确诊病例,而机器学习在预测死亡率方面表现出色. 这凸显了有针对性的干预措施的必要性,以制拉萨热的传播和死亡.

关键词:
拉萨热病是拉萨热病的一种疾病.机器学习模型机器学习模型尼日利亚 尼日利亚 尼日利亚量子式回归模型的量子式回归模型.确诊病例 确诊病例 确诊病例 确诊病例死亡率 死亡率

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