Predicting the Frequency of Human Brucellosis using Climatic Indices by Three Data Mining Techniques of Radial Basis Function, Multilayer Perceptron and Nearest Neighbor: A Comparative Study

Predicting the Frequency of Human Brucellosis using Climatic Indices by Three Data Mining Techniques of Radial Basis Function, Multilayer Perceptron and Nearest Neighbor: A Comparative Study

Background and Objectives: Identification of statistical models has a great impact on early and accurate detection of outbreaks of infectious diseases and timely warning in health surveillance. This study evaluated and compared the performance of the three data mining techniques in time series predi...

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Bibliographic Details
Main Authors: L Tapak, N Shirmohammadi-Khorram, O Hamidi, Z Maryanaji
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2018-09-01
Series:مجله اپیدمیولوژی ایران
Subjects:
human brucellosis
artificial neural networks
nearest neighbor
prediction
Online Access:http://irje.tums.ac.ir/article-1-6038-en.html

Internet

http://irje.tums.ac.ir/article-1-6038-en.html

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