Abstract
In the big data era, the number, the volume and the variety of available data sources are dramatically increasing. This becomes a great issue to address in all the research fields. Personalized medicine does not escape this trend. However, as generally happens, what is a problem, if solved, can become an opportunity. As a consequence, if we were able to define a model to represent and handle data coming from disparate contexts of medicine, we could use it to face different problems in this scenario. A concept and/or an approach designed to solve an open problem in one of these contexts could be transposed to address open issues in several other ones. In this paper, we propose a “big data oriented” and a “complex network based” model and a set of associated parameters, and we apply them to investigate three very different neurological disorders, namely Creutzfeldt-Jacob Disease, Childhood Absence Epilepsy and Alzheimer's Disease.