Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree-Reference-Cited by-同舟云学术

Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree

Published:2022-11-10 Issue:1 Volume:10 Page:
ISSN:2047-2501
Container-title:Health Information Science and Systems
language:en
Short-container-title:Health Inf Sci Syst

Author:

Khan Md. Ashikur Rahman^ORCID,Akter Jony,Ahammad Ishtiaq,Ejaz Sabbir,Jaman Khan Tanvir

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s13755-022-00202-x.pdf

Reference32 articles.

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2. Nishanthi PHM, Perera AAI, Wijekoon HP. Prediction of dengue outbreaks in Sri Lanka using artificial neural networks. Int J Comput Appl 2014;101(15).

3. Mamun MA, Misti JM, Griffiths MD, Gozal D. The dengue epidemic in Bangladesh: risk factors and actionable items. The Lancet. 2019;394(10215):2149–50.

4. Karim MN, Munshi SU, Anwar N, Alam MS. Climatic factors influencing dengue cases in Dhaka city: a model for dengue prediction. Indian J Med Res. 2012;136(1):32–9.

5. Mutsuddy P, Tahmina Jhora S, Shamsuzzaman AKM, Kaisar SM, Khan MNA. Dengue situation in Bangladesh: an epidemiological shift in terms of morbidity and mortality. Can J Infect Dis Med Microbiol 2019.

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