Abstract
The article deals with the problems of establishing the diagnosis by psychiatrist and psychotherapist using standard questionnaires for mental status assessing and history taking, along with computer versions of diagnostics instruments. A full-scale automation of establishing the diagnosis is offered, based on techniques of artificial intellect. The class of clinical decision supporting systems was selected for modeling of psychiatrist’s reasoning in course of interpretation of the test results. The apparatus of fuzzy logic has been selected to increase acceptance of decision making by experts in medical diagnostics, due to plenty of fuzzy and approximate reasoning in the process of establishing the diagnosis. Comparative analysis of well-known and most used algorithms for fuzzy inference, such as Mamdani and Sugeno, was held on to select the algorithm for medical diagnostics task. The Mamdani algorithm was selected due to the simplicity of implementation. An example of the fuzzy logic module using for establishing the diagnosis by a psychiatrist was considered.
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Kravets, A., Poplavskaya, O., Lempert, L., Salnikova, N., Medintseva, I. (2017). The Development of Medical Diagnostics Module for Psychotherapeutic Practice. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_63
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