Comparison of Deep Learning and Gradient Boosting: ANN Versus XGBoost for Climate‐Based Dengue Prediction in Bangladesh

Comparison of Deep Learning and Gradient Boosting: ANN Versus XGBoost for Climate‐Based Dengue Prediction in Bangladesh

ABSTRACT Background and Aims Bangladesh is confronting an unprecedented threat from dengue, worsened by climate change. Understanding its trends and pinpointing climatic risk factors is vital for effective intervention and control. This study aimed to compare the artificial neural network (ANN) and...

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Bibliographic Details
Main Author: Arman Hossain Chowdhury
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Health Science Reports
Subjects:
climate change
disease control
predictive modeling
public health
vector‐borne
Online Access:https://doi.org/10.1002/hsr2.70714
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https://doi.org/10.1002/hsr2.70714

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