Towards a healthcare digital twin

Abstract

The main aim of this short position paper is to introduce a proposal to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for personalised healthcare. These will be used by both kind of experts: (i) data analysts, who will design expert recommender systems and extract knowledge (explainable AI); and (ii) professionals in medicine, who will consume that knowledge generated with their research for better diagnosis. Knowledge generation / extraction processes will work in the form of a lifelong learning system by iterative and continuous use. The produced platform would be abstracted so it can be applied like a general purpose service tool in other domains. A rule extraction module would be also made available.