A rough sets approach for diagnostic M-mode evaluation in newborn with congenital heart diseases

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Tarih

2010

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Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

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 template for neonatal congenital heart diseases accuracy. In this study, relationship between cardiac morphologic measurement and diagnosis of neonatal congenital heart diseases is analysed. Examples of echocardiographic M-mode values application for prediction of diagnosis for newborn infant with congenital heart diseases are given. Furthermore, the methodology enables one to automatically construct a set of descriptive and minimal if-then rules that model the patient group in need of the test. A reanalysis of a previously published real-world dataset of patients with normal cardiovascular system is used as this study. This may be helpful in supporting decisions concerning diagnosis of congenital heart diseases in newborn babies using rough set techniques. In addition, medical rough set techniques can discover novel diagnostic facility and associations that are useful to paediatric cardiologists. © 2010 IEEE.

Açıklama

3rd International Conference on Human System Interaction, HSI'2010 -- 13 May 2010 through 15 May 2010 -- Rzeszow -- 81470

Anahtar Kelimeler

Congenital heart diseases, Diagnostic approach, Newborn infant, Rough set theory

Kaynak

3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings

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