Evaluation of Machine Learning Approaches for Prediction of Dengue Fever-Reference-Cited by-同舟云学术

Evaluation of Machine Learning Approaches for Prediction of Dengue Fever

Published:2022-10-14 Issue: Volume: Page:165-175
ISSN:2367-4512
Container-title:Computer Networks and Inventive Communication Technologies
language:
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Author:

Rahman Tasmiah,Rahman Md. Mahmudur

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3035-5_13

Reference17 articles.

1. Dengue and severe dengue. https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue. Accessed 20 Sept 2021

2. 6,450 hospitalised this year, DGHS worried. https://en.prothomalo.com/bangladesh/6450-hospitalised-this-year-dghs-worried?fbclid=IwAR1oyBDQW7bna-bE37LF4s35wu4oQs970TC_Kg6Qy9jaNe4NDqHcpByVPz0. Accessed 20 Sept 2021

3. Dengue wreaking havoc in Bangladesh amid pandemic|Dhaka Tribune. https://www.dhakatribune.com/bangladesh/2021/07/31/dengue-wreaking-havoc-in-bangladesh-amid-pandemic?fbclid=IwAR30RcLO8ntkM1pu5svRxXPsnmujWJpMbEFnRd2lwXGlYNm_aW1CCM-zrdU. Accessed 8 Aug 2021

4. Silitonga P, Bustamam A, Muradi H, Mangunwardoyo W, Dewi BE (2021) Comparison of dengue predictive models developed using artificial neural network and discriminant analysis with small dataset. Appl Sci 11:1–16. https://doi.org/10.3390/app11030943

5. Dourjoy SMK, Rafi AMGRR, Tumpa ZN, Saifuzzaman M (2020) A comparative study on prediction of dengue fever using machine learning algorithm. Presented at the 2020. https://doi.org/10.1007/978-981-15-4218-3_49

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