Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
This research proposes a ‘temporal attention’ addition for long-short term memory (LSTM) models for dengue prediction. The number of monthly dengue cases was collected for each of five Malaysian states i.e. Selangor, Kelantan, Johor, Pulau Pinang, and Melaka from 2011 to 2016. Climatic, demographic,...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
PAGEPress Publications
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/110101/ https://www.geospatialhealth.net/index.php/gh/article/view/1176 |
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