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Forecasting Measles in the European Union Using the Adaptive Neuro-Fuzzy Inference System
Author(s) -
Erkut İnan İşeri,
Kaan Uyar,
Ümit İlhan
Publication year - 2019
Publication title -
cyprus journal of medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2149-7893
pISSN - 2536-507X
DOI - 10.5152/cjms.2019.611
Subject(s) - adaptive neuro fuzzy inference system , european union , inference , neuro fuzzy , inference system , computer science , artificial intelligence , measles , machine learning , fuzzy logic , fuzzy control system , virology , medicine , business , international trade , vaccination
BACKGROUND/AIMS Measles is one of the diseases that cause child mortality. The measles forecasting is essential in planning the fight against the disease and reducing the risk of the vaccine stocks expiration. Governments and health institutions estimate the measles vaccine requirements using certain equations, which are generally based on the size of the target population and the past consumption records. There are several studies that have examined the measles forecasting and conducted a vaccine requirement assessment.

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