  Modern epidemiology integrates knowledge from heterogeneous collections of
data consisting of numerical, descriptive and imaging. Large-scale
epidemiological studies use sophisticated statistical analysis, mathematical
models using differential equations and versatile analytic tools that handle
numerical data. In contrast, knowledge extraction from images and descriptive
information in the form of text and diagrams remain a challenge for most
fields, in particular, for diseases of the eye. In this article we provide a
roadmap towards extraction of knowledge from text and images with focus on
forthcoming applications to epidemiological investigation of retinal diseases,
especially from existing massive heterogeneous collections of data distributed
around the globe.
