Dengue Prediction with Machine Learning

Using TensorFlow Wide & Deep Models and Keras LSTM Models to Predict Mosquito-Born Dengue Outbreaks in San Juan, Puerto Rico and Iquitos, Peru based on climate and environmental data.

References

1. https://www.cdc.gov/Dengue/
2. https://obamawhitehouse.archives.gov/blog/2015/06/05/back-future-using-historical-dengue-data-predict-next-epidemic
3. https://www.drivendata.org/about/
4. https://www.drivendata.org/competitions/44/dengai-predicting-disease-spread/page/80/
5. https://ehp.niehs.nih.gov/wp-content/uploads/121/11-12/ehp.1306556.pdf
6. https://en.wikipedia.org/wiki/Iquitos#Climate
7. https://en.wikipedia.org/wiki/San_Juan,_Puerto_Rico#Climate
8. http://rstb.royalsocietypublishing.org/content/370/1665/20140135.full
9. https://www.tensorflow.org/
10. https://www.tensorflow.org/tutorials/wide_and_deep
11. https://deeplearning4j.org/lstm
12. https://medium.com/human-in-a-machine-world/mae-and-rmse-which-metric-is-better-e60ac3bde13d
13. https://www.drivendata.org/competitions/44/dengai-predicting-disease-spread/submissions/