Modeling of the development of a complete early differential diagnosis and prognosis of the state of complex objects in medicine. Problems and prospects

The problems of personalized assessment of the state (PSA) of a complex object (CO) as a heterogeneous system are considered. It is proposed to develop and investigate a new approach to improve the efficiency and quality of solving the problems of medical diagnostics and prediction in conditions of significant diversity, heterogeneity, and uncertainty of information about a complex diagnostic object as well as the heterogeneity of the process of personalized assessment of their state. It is proposed to create and investigate methods and models of a new class of hybrid intelligent systems (HyIS) for medical diagnostics and prediction integrating heterogeneous models for the development and interpretation of PSA of a CO at different stages of the examination process as well as combining two types of HyIS (functional and transformational).