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A Data Mining based study on Dengue Fever: A Review

    Authors

    1 Research Scholar, Department of Computer Application, Seacom Skills University, West Bengal, India

    2 Assistant Professor, Department of Computer Science and Engineering, Techno Engineering College Banipur, Kolkata, West Bengal, India

    3 Professor, University of Engineering and Management, Kolkata, West Bengal, India

    4 University Research Professor, Seacom Skills University, West Bengal, India

,

Document Type : Review Article

Abstract

 
Dengue fever (DF) is amosquitoborne disease spread by female Aedes mosquito. Dengue transmission depends on the changing of climatic parame- ters like temperature, humidity, rainfall, as well as the congestion in an area, i.e., where the population density is high. In this review, we have highlighted the reasons of the occurrence of DF and methods for early detection of the same. Symptoms are the key points to diagnose the dengue patients. Many diseases like Malaria, Chikungunia, Typhoid, COVID-19, etc. have the com- mon symptoms of fever, body pain, eye pain, diarrhoea, etc. Few rare symp- toms have been identified for diagnosing DF using machine learning predictive model. Rare symptoms are skin disease, headache, abdominal pain for early detection of dengue.

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International Research Journal on Advanced Science Hub
Volume 4, Issue 04
April 2022
Page 101-107
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History
  • Receive Date: 24 March 2022
  • Revise Date: 25 April 2022
  • Accept Date: 27 April 2022
  • First Publish Date: 28 April 2022
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