Modelling uncertainty in the connection between socio-economic factors and health &amp;#x00026; health-related behavior of adolescents in Georgia

Kiseliova, Tatiana; Pagava, Karaman; Phagava, Helen

doi:10.1109/nafips.2009.5156392

Cited by 4 publications

(1 citation statement)

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“…First, we define what we understand under common (normal) diseases and then consider possible deviations from them. Our description of common (normal) diseases is based on the terminology used in CADIAG-like systems [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], whereas, we investigate the deviations from normal diseases with the help of FML [13], [14]. In the last years, FML (Fuzzy Markup Language) is emerging as one of the most efficient and useful language to define fuzzy control thanks to its capability of modeling Fuzzy Logic Controllers in a human-readable and hardware independent way, i.e., the so-called Transparent Fuzzy Controllers (TFCs) [15].…”

Section: Introductionmentioning

confidence: 99%

Towards application of FML in suspicion of non-common diseases

Kiseliova

Pagava

Vitiello

2011

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)

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In this paper we present the preliminary results of application of Fuzzy Markup Language (FML) to suspect a non-common disease. Under non-common diseases we understand rare diseases. From the broad point of view this problem belongs to the computer-assisted decision support in medical diagnostics and can be supported by fuzzy logic controllers. We can use conventional methods to diagnose a rare disease if it can be exhibited by outstanding symptoms. For example, there are several search machines and data banks that allow to find a rare disease clearly exhibited by a patient's symptoms/signs. But it is very difficult to diagnose a rare disease if it masks as a common disease. Diagnostic of rare diseases is connected with lack, uncertainty and imprecision of knowledge, medical mistake and even medical failure. Additionally, very often a common disease is also established with some degree of belief, thus, the expressions such as "it is possible that a patient has a particular disease" rather often present in the daily medical practice. It is clear that if we would know the common diseases, then deviations from them can be considered as a sign of non-common diseases. In this paper we investigate such deviations with the help of FML. We show how FML mechanism can be adjusted to suspect a rare disease, and discuss the appropriateness of the available operators. © 2011 IEEE

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