Dengue models based on machine learning techniques: A systematic literature review-Reference-Cited by-同舟云学术

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Dengue models based on machine learning techniques: A systematic literature review

Published:2021-09 Issue: Volume:119 Page:102157
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Hoyos William,Aguilar Jose,Toro Mauricio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference119 articles.

1. Epidemiological trends of dengue disease in Colombia (2000−2011): a systematic review;Villar;PLoS Negl Trop Dis,2015

2. An epidemiological study of dengue and its coinfections in Delhi;Savargaonkar;Int J Infect Dis,2018

3. Dengue virus pathogenesis: an integrated view;Martina,2009

4. Dengue;Wilder-Smith;Lancet,2019

5. Dengue hemorrhagic fever: diagnosis, treatment, prevention and control;World Health Organization,1997

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1. SinSO: An ontology of sustainability in software;Applied Ontology;2024-08-14

2. A Systematic Review of Asian Households’ Dengue-Related Knowledge, Attitudes, and Practices;2024-08-02

3. A deep learning architecture using hybrid and stacks to forecast weekly dengue cases in Laos;The European Physical Journal B;2024-08

4. Utilization of machine learning for dengue case screening;BMC Public Health;2024-06-11

5. A predictive analytics model using machine learning algorithms to estimate the risk of shock development among dengue patients;Healthcare Analytics;2024-06

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