Predicting Dengue Outbreak from Climate Data Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Predicting Dengue Outbreak from Climate Data Using Machine Learning Algorithms

Published:2022-07-29 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Data Science and Information System (ICDSIS)
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Author:

Sarder Faysal¹,Akter Sorefa¹,Akter Sharmin¹

Affiliation:

1. City University,Computer Science & Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9915554/9915796/09915862.pdf?arnumber=9915862

Reference15 articles.

1. Modeling of dengue outbreak prediction in Malaysia: a comparison of neural network and nonlinear regression model;salim;International Symposium on Information Technology,2008

2. Temporal Trends Analysis for Dengue Outbreak and Network Threats Severity Prediction Accuracy Improvement;kasmiran;Journal of Digital Information Management,2019

3. A Spatial Clustering Approach to Identify Risk Areas of Dengue Infection After Insecticide Spraying;pengsakul;Jurnal Teknologi,2016

4. Machine Learning-Based Missing Value Imputation Method for Clinical Datasets

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1. Dengue Fever Outbreak Prediction Using Machine Learning Models: A Comparative Study;Lecture Notes in Networks and Systems;2024

2. Communicable Disease Prediction Using Machine Learning and Deep Learning Algorithms;Lecture Notes in Networks and Systems;2023

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