Early self-diagnosis of dengue symptoms using fuzzy and data mining approach-Reference-Cited by-同舟云学术

Early self-diagnosis of dengue symptoms using fuzzy and data mining approach

Published:2018 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
Short-container-title:

Author:

Husin Nor Azura,Alharogi Akram,Mustapha Norwati,Hamdan Hazlina,Husin Ummi Amalina

Publisher

Author(s)

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5055450

Reference14 articles.

1. World Health Organization, Dengue Control. http://www.who.int/denguecontrol/human/en/ [Accessed 20 Nov 2017].

2. Suzanne Moore Shepherd, Medscape. https://emedicine.medscape.com/article/215840-overview#a3 [Accessed on 1 December 2017]

3. World Health Organization, Dengue and Severe Dengue, 2013, http://www.who.int/mediacentre/factsheets/fs117/en/ (updated April 2017).

4. National Guidelines for Clinical Management of DF, National Vector Bourne Disease Control Programme, 2015, http://www.nvbdcp.gov.in/Doc/Clinical%20Guidelines.pdf.

5. C.R. Vicente, J.C. Lauar, B.S. Santos, V.M. Cobe, and C. Jr. Cerutti, Factors related to severe dengue during an epidemic in Vitória, State of Espírito Santo, Brazil, 2011,

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smart System for Dengue Fever Diagnosis: A Machine Learning Approach;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

2. Evaluation of a Prototype Mobile Application Based on an Expert System for the Diagnosis of Diseases Transmitted by the Aedes Aegypti Mosquito;International Journal of Online and Biomedical Engineering (iJOE);2023-09-18

3. Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review;PLOS Neglected Tropical Diseases;2022-01-07

4. COVID-19 Patients Prediction Based on Symptoms Using Fuzzy Logic Approach;Lecture Notes in Networks and Systems;2022

5. Monitoring, Tracking and Diagnosing Dengue Fever using Smartphone, GPS and Machine Learning;2021 16th International Conference on Emerging Technologies (ICET);2021-12-22