Fuzzy-Logic-Based Screening and Prediction of Adult Psychoses: A Novel Approach

An attempt has been made to develop a fuzzy-logic (FL)-based screening and prediction tool for adult psychoses, a group of look-alike mental illnesses showing varying cause-effect relations among the patients. Gathering information of psychiatric patients is a big hurdle for some ethical reasons. Moreover, due to the gross individualization of the medical logic, doctors´ opinions regarding the preliminary identification of the psychotic diseases vary at large. The basic philosophy of this research is to render a low-cost good approximation for the screening of seven adult psychoses and eventually to determine the most predominant one using FL-based expert systems. It shows how the complex decision-making process of adult psychoses can be modeled using the concept of FL. This paper differs from others´ works in the following ways: (1) utilized data have more similarity with the real-life data, as those are collected from some practicing psychiatrists; (2) successful implementation of a unique method of screening the psychiatric patients; and (3) efficient identification of important factor(s) for each response.