Predicting Dengue Outbreak based on Meteorological Data Using Artificial Neural Network and Decision Tree Models
Dengue fever is well-known as a potentially fatal disease, and the number of cases in some areas remains uncontrolled. Despite efforts to prevent the dengue outbreak from spreading further, vectors may be to blame. Identifying what weather characteristics contribute to dengue outbreaks is important...
出版年: | International Journal on Informatics Visualization |
---|---|
第一著者: | 2-s2.0-85139442952 |
フォーマット: | 論文 |
言語: | English |
出版事項: |
Politeknik Negeri Padang
2022
|
オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139442952&doi=10.30630%2fjoiv.6.2.788&partnerID=40&md5=5130e4491c3ba09b6ec07810fb5386a5 |
類似資料
-
Personal bankruptcy prediction using decision tree model
著者:: Syed Nor S.H.; Ismail S.; Yap B.W.
出版事項: (2019) -
Personal bankruptcy prediction using decision tree model
著者:: 2-s2.0-85066986887
出版事項: (2019) -
Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques
著者:: 2-s2.0-85099412834
出版事項: (2021) -
Predicting fraudulent financial reporting using artificial neural network
著者:: 2-s2.0-85019490600
出版事項: (2017) -
Data on biology and demographic parameters of the Aedes albopictus from dengue outbreaks in Klang Valley, Malaysia
著者:: Dom N.C.; Alhothily I.A.; Camalxaman S.N.; Ismail S.N.S.
出版事項: (2020)