Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure
When diagnoses a patient, it is necessary for a doctor to conduct a comprehensive and systematic study of the patient in order to collect anamnesis and objectively examine the patient’s condition, to conduct the laboratory, radiographic and other types of analyses research, as well as to take into account the presence of other diseases inpatient. Processing a large amount of information about the patient and correlating this information with the symptoms of various diseases, not always relevant to the particular physician specialization is a difficult task, which can be solved by the diagnostic support system, basing on the available information. The article proposes a method of diagnostics for given symptoms based on the theory of fuzzy sets. For a given set of symptoms expressed, a generalized diagnosis index is calculated using the Sugeno measure. Using the search for the maximum of generalized indicators, the most probable diagnosis is made.