An Enhanced Medical Diagnosis System for Malaria and Typhoid Fever Using Genetic Neuro-Fuzzy System-Reference-Cited by-同舟云学术

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An Enhanced Medical Diagnosis System for Malaria and Typhoid Fever Using Genetic Neuro-Fuzzy System

Published:2023 Issue: Volume: Page:173-183
ISSN:2367-3370
Container-title:Artificial Intelligence and Smart Environment
language:
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Author:

Awotunde Joseph Bamidele^ORCID,Imoize Agbotiname Lucky^ORCID,Salako Dotun Patrick,Farhaoui Yousef^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26254-8_25

Reference15 articles.

1. Awotunde, J.B., Jimoh, R.G., Oladipo, I.D., Abdulraheem, M.: Prediction of malaria fever using long-short-term memory and big data. Commun. Comput. Inf. Sci. 1350, 41–53 (2021)

2. Tessema, B., Ferede, G., Endris, M., Enawgaw, B.: Malaria, typhoid fever and their coinfection among febrile patients at a rural health Centre in Northwest Ethiopia: a cross-sectional study, Adv. Med. 2014, Article ID 531074 (2014)

3. Maidabara, A.H., Ahmadu, A.S., Malgwi, Y.M., Ibrahim, D.: Expert system for diagnosis of malaria and typhoid. Comput. Sci. IT Res. J. 2(1), 1–15 (2021)

4. Gontie, G.B., Wolde, H.F., Baraki, A.G.: Prevalence and associated factors of malaria among pregnant women in Sherkole district, Benishangul Gumuz regional state West Ethiopia. BMC Infect Dis. 20(1), 1–8 (2020)

5. Alelign, D., et al.: Magnitude of malaria-typhoid fever coinfection in febrile patients at Arba Minch General Hospital in Southern Ethiopia. J. Trop. Med. 2022, 8p (2022)

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1. Multilayer Perceptron Based Mobile Application for Diagnosing Typhoid Fever;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

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