Soft computing in problems of medical diagnostics

In recent years, the importance of informatics has increased for the interpretation and analysis of data using computational methods, in particular, the so-called “soft” computing (Soft Computing — SC). The article discusses the possibilities of using SC for solving problems related to medicine and, especially, problems of decision support. At the same time, it is demonstrated that one should not artificially use innovations, especially since, at the cost of little effort, one can turn to classical approaches that are methodologically rigorous and lead to guaranteed results. The undoubted interest in the study of SC methodologies in various disciplines (genetics, physiology, radiology, cardiology, neurology, etc.) demonstrates that their study is extremely fruitful and it is expected that future research in medicine will use the corresponding methods to a greater extent than today and for more complex tasks.