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

被引:13
作者
Chattopadhyay, Subhagata [1 ]
Pratihar, Dilip Kumar [2 ]
Sarkar, Sanjib Chandra De [3 ]
机构
[1] Univ New S Wales, Sydney, NSW 2052, Australia
[2] Indian Inst Technol, Dept Mech Engn, Kharagpur 721302, W Bengal, India
[3] KIIT, Bhubaneswar 751024, Orissa, India
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2009年 / 39卷 / 02期
关键词
Fuzzy clustering (FC); fuzzy logic (FL); prediction; psychoses; screening; ARTIFICIAL NEURAL-NETWORK; DEPRESSION;
D O I
10.1109/TSMCA.2008.2010138
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:381 / 387
页数:7
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