Research Article
How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning
Table 1
Comparison of different influenza-related works.
| Reference | Methods | Data | Goal |
| [11] | ARIMA | Influenza data | Predict trend | [9] | Statistical methods | Influenza data | Predict trend | [10] | Statistical methods | Influenza data | Predict trend | [12] | Bayesian | Influenza data | Predict trend | [13] | Machine learning methods | Influenza data | Support diagnosis | [14] | OOC | Influenza data | Predict outbreak | [15] | Clustering | Social media data | Monitor influenza | [19] | Linear prediction | Medical data and search data | Monitor influenza | [20] | Genetic algorithm | Influenza data | Predict trend | [21] | ANN | Climatic data and influenza data | Predict trend | [16] | LSTM | Geographical data and climatic data | Predict trend | [17] | Nonlinear regression | Meteorological data | Monitor influenza | [18] | MLP | Meteorological data | Predict trend |
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