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Manuscript Details - IJCIRAS1567

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Paper Id: IJCIRAS1567
Title: DENGUE FEVER CLASSIFICATION TOOL USING MACHINE LEARNING
Published in: International Journal Of Creative and Innovative Research In All Studies
Publisher: IJCIRAS
ISSN: 2581-5334
Volume / Issue: Volume 2 Issue 12
Pages: 6
Published On: 5/9/2020 8:37:30 PM      (MM/dd/yyyy)
Main Author Details
Name: Khaing Thanda Swe
Institute: Mandalay Technological University, Myanmar
Co - Author Details
Author Name Author Institute
Phyo Thu Zar Tun Mandalay Technological University, Myanmar
Abstract
Research Area: Computer Engineering
KeyWord: hyperthermia, dengue, PDR
Abstract: Fever is generally not considered dangerous, but hyperthermia can cause dangerous rises in body temperature such as heat stroke, side effects of certain medications or illicit drugs. Another type of dangerous fever is dengue fever. Dengue fever is one of the most important mosquito-borne viral diseases in the world. Approximately 40% of the world population lives in the high-risk area of dengue fever, in which 400 million get infected and 22,000 die from severe dengue fever annually. In any case, it has been an awesome test utilizing blood and urine test for the doctors to distinguish the level of hazard in dengue patients. The main aim of proposed system is to reduce this unnecessary urine test and blood test for patients. Datasets are gathered from hospital of Lao PDR, which incorporates around 100 ground truth data containing numeric attributes. In the proposed fever classification tool, the user can choose the suffered symptoms. Then the system gives the result according to the symptoms using support vector machine that the fever is either dengue fever or severe fever or high temperature cold fever. Moreover the user can get the knowledge about the dengue fever and can share information about their cases via forum. The system is implemented with Java Programming Language. Finally the system analyses the performance for either how many cases increased or decreased in using this dengue fever classification tool for Champpassak region, Lao PDR.
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IEEE
Khaing Thanda Swe, Phyo Thu Zar Tun, "Dengue Fever Classification Tool using Machine Learning", International Journal Of Creative and Innovative Research In All Studies, vol. 2, no. 12, pp. 5-10, 2020.
MLA Khaing Thanda Swe, Phyo Thu Zar Tun "Dengue Fever Classification Tool using Machine Learning." International Journal Of Creative and Innovative Research In All Studies, vol 2, no. 12, 2020, pp. 5-10.
APA Khaing Thanda Swe, Phyo Thu Zar Tun (2020). Dengue Fever Classification Tool using Machine Learning. International Journal Of Creative and Innovative Research In All Studies, 2(12), 5-10.
Dengue Fever Classification Tool using Machine Learning
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