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A model to assess dengue using type 2 fuzzy inference system
- Source :
- Biomedical Signal Processing and Control. 63:102121
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Recently the vector-borne disease dengue has become one of those infectious diseases with the potential of becoming endemic. Though dengue fever may occur at any time of the year, it depends very much on a suitable environment. Taking this into account, in this work we have developed a mathematical model using type-2 fuzzy inference system to predict suitable conditions for dengue outbreak so that control measures can be implemented as soon as possible. Here temperature, rainfall, humidity is taken as input parameters and the chance of dengue fever is taken as the output parameter. To understand the system easily we have used MATLAB software to generate various simulation works.
- Subjects :
- Computer science
business.industry
0206 medical engineering
Health Informatics
02 engineering and technology
medicine.disease
Machine learning
computer.software_genre
020601 biomedical engineering
Dengue outbreak
Dengue fever
03 medical and health sciences
0302 clinical medicine
Fuzzy inference system
Signal Processing
medicine
Artificial intelligence
business
computer
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 17468094
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- Biomedical Signal Processing and Control
- Accession number :
- edsair.doi...........c3771cc9b4c308bcc6c1a95b45ef648a
- Full Text :
- https://doi.org/10.1016/j.bspc.2020.102121