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This paper presents a methodology based on rough set theory that can be used to identify those newborn with congenital heart diseases for which performing the test is redundant or superfluous. Pawlak introduced rough set theory in the early 1980s as a tool for representing and reasoning about imprecise or uncertain information. Our method depends on cardiac morphologic measurement algorithms for diagnosis...
The paper gives an overview of research devoted to developing a semi-automatic methodology of building a semantic model of medical diagnostic knowledge. The methodology can serve multiple purposes. First of all it can be a foundation for building ontologies of diseases. The same methodology can also be used for building ontologies of medical diagnostic technologies. The semantic model is applied because...
In Thailand, most of people like to use Thai herbs for their traditional medical treatments. However, since there are various sorts of Thai herbs, and the Thai herbal knowledge is complicated, it is difficult to find an appropriate one for each health condition. In order to help people to find suitable Thai herbs to cure the diseases, we have developed a system to provide herbal recommendations to...
The purpose of this study is to present the application of the eye-tracking technology to the research on autistic spectrum disorders (ASD) with a special interest on language impairments and text comprehension and production deficits. We present data and results obtained from a single case study research regarding an adult autistic male with a hyperlexia profile. Furthermore we offer support to the...
Our research concerns psychometric data coming from the Minnesota Multiphasic Personality Inventory (MMPI) test. MMPI is used to count the personality-psychometric dimensions which help in diagnosis of mental diseases. In this paper, we test different algorithms for rule generation from data coming from the MMPI-WISKAD test. Especially, for each algorithm, we take into consideration a number of generated...
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