Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China.
Lan WeiYe LiJianying GuoXiang LiShujiang MeiYongsheng WuGuotong XieTiejian FengPublished in: ISAIMS (2023)
Keyphrases
- machine learning algorithms
- public health
- severe acute respiratory syndrome
- early warning
- listed companies
- infectious disease
- benchmark data sets
- learning algorithm
- machine learning
- learning problems
- predictive accuracy
- decision trees
- machine learning methods
- stock market
- machine learning models
- random forests
- machine learning approaches
- input features
- learning models
- outbreak detection
- learning tasks
- neural network
- machine learning and data mining algorithms
- statistical machine learning
- supervised learning algorithms
- real world