Dear Colleagues,

Big Data is a transversal and increasingly relevant component of the contemporary social system: the collection, storage, processing, and analysis of Big Data includes immense amounts of data and is cross-sectorial with potentially immense outcomes.
One of the most important sectors is health, in all its declinations, such as individual health behaviors, medicine, healthcare and public health. In this setting, as in all others, Big Data come from an increasing plurality of sources.
These data sources include, for instance, social media, internet clicks, and other "general purpose" sources, as well as "specifically generated" content such as genomics, medical prescriptions, hospital records, etc.
Among the health-specific data, a large part is not specifically intended for health care use, such as administrative data, and many more data are gathered but not used for health care purposes.
For instance, most of the imaging data, laboratory records, genomic sequences, etc. are not used for diagnosis, as the diagnostic reports usually focus only on the specific findings useful for the diagnosis in that specific patient.
The present Special Issue invites papers which present studies on the use of these "alternative" sources of Big Data in Health to conduct clinical or epidemiological research.

Dr. Pierpaolo Cavallo
Guest Editor

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