AVATAR are models of synthetic representation of patient types (so-called “virtual patients” or “digital twins”) created by analyzing the clinical history of similar patient groups in terms of symptoms, demographic aspects and evolution of the clinical picture. Through this representation, also in this case based on data analysis and clinical histories to develop knowledge processing systems, the potential responses to clinical treatments for new patients are classified, creating the correspondence with the “virtual patient” who best represents the picture clinician under consideration.
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