  We present a method that uses ensemble learning to combine clinical and
web-mined time-series data in order to predict future vaccination uptake. The
clinical data is official vaccination registries, and the web data is query
frequencies collected from Google Trends. Experiments with official vaccine
records show that our method predicts vaccination uptake effectively (4.7 Root
Mean Squared Error). Whereas performance is best when combining clinical and
web data, using solely web data yields comparative performance. To our
knowledge, this is the first study to predict vaccination uptake using web data
(with and without clinical data).
