Application of a fuzzy model of making a decision to choose a medicine in the case of symptoms prevailing after the treatment.

Fuzzy set theory has introduced many auxiliary methods into medical problems. One of the attempts was the fixing of the optimal level of the drug action in the case when clinical symptoms retreat completely after the treatment [1,5]. In many morbid processes, however, there occurs problem of symptoms prevailing to some extent after the course of the medication process improving too high or too low indices of the measurable symptom. Different medicines applied have many a time an effect on the same symptoms and it is sometimes difficult to choose uniquely that therapeutic remedy which brings the best results in the treatment of all the symptoms typical of the given diagnosis. A fuzzy model of decision making is to make it easier to choose a drug which acts optimally in the case of symptoms not retreating to the full after the treatment.

[Use of the Fuzzy Set Theory in the diagnosis and treatment of inflammatory conditions of the genital organs and the urinary system in women]. / Zastosowanie teorii zbiorów rozmytych w diagnostyce i leczeniu stanów zapalnych narzadów plciowych i ukladu moczowego kobiet.

The paper presents methods of Fuzzy Set Theory which can be a helpful key to medical diagnosis on the basis of symptoms as well as to the differentiating the effectiveness of action of drugs (metronidazole, tinidazole and ornidazole) in trichomoniasis. The relationship between patients and symptoms, symptoms and diagnoses or patients and diagnoses is considered as a fuzzy relation. A max-min composite fuzzy relation is a mathematical apparatus for finding the diagnoses such as: trichomoniasis, mycoses or bacterial infection. The solution of the other problem is based determining an eigen fuzzy set, associated with a given fuzzy relation, which can help to predict the theoretical maximal and minimal levels of recovery.