Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory

• Main Authors: Abdulrazak Yahya, Saleh, Shahrulnizam, Medang, Ashraf, Osman Ibrahim
• Format: Book Chapter
• Language: English
• Published: Springer Nature Switzerland 2020
• Subjects: H Social Sciences (General); QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/27782/1/Rabies%20Outbreak%20Prediction%20Using%20Deep%20Learning%20with%20Long%20Short-Term%20Memory%20-%20Copy.pdf; http://ir.unimas.my/id/eprint/27782/; https://link.springer.com/chapter/10.1007/978-3-030-33582-3_32

The purpose of this article is to evaluate the Long Short-Term Memory (LSTM) model performance for rabies outbreak prediction (ROP). Successful forecasting of the initial epidemic outbreaks can decrease the incidence of the ailment and save lives, but this type of research is costly, and an erroneou...