Interpretable spatio-temporal prediction using Deep Neural Network - Local Interpretable Model-agnostic Explanations: A case study on leptospirosis outbreaks in Malaysia

Interpretable spatio-temporal prediction using Deep Neural Network - Local Interpretable Model-agnostic Explanations: A case study on leptospirosis outbreaks in Malaysia

Leptospirosis is a widespread zoonotic disease with complex spatio-temporal dynamics. This study investigates the use of Deep Neural Network (DNN) in combination with Local Interpretable Model-Agnostic Explanations (LIME) for weekly spatio-temporal predictions of leptospirosis occurrence. The predic...

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Bibliographic Details
Main Authors: Rahmat, Fariq, Zulkafli, Zed, Ishak, Asnor Juraiza, Abdul Rahman, Ribhan Zafira, Tahir, Wardah, Ab Rahman, Jamalludin, Jayaramu, Veianthan, De Stercke, Simon, Ibrahim, Salwa, Ismail, Muhamad
Format: Article
Language:English
Published: Elsevier Ltd 2025
Online Access:http://psasir.upm.edu.my/id/eprint/121152/
http://psasir.upm.edu.my/id/eprint/121152/1/121152.pdf

Internet

http://psasir.upm.edu.my/id/eprint/121152/
http://psasir.upm.edu.my/id/eprint/121152/1/121152.pdf

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