Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

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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Bibliographic Details
Main Authors: Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli
Format: Article
Language:English
Published: PAGEPress Publications 2023-05-01
Series:Geospatial Health
Subjects:
dengue fever
LSTM
attention
deep learning
Malaysia
Online Access:https://geospatialhealth.net/index.php/gh/article/view/1176

Internet

https://geospatialhealth.net/index.php/gh/article/view/1176

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