A Rough Sets Approach for Diagnositc M-Mode Evaluation in Newborn with Congernital Heart Diseases
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/openAccess
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.
Açıklama
3rd Annual International Conference on Human System Interaction (HSI) -- MAY 13-15, 2010 -- Rzeszow, POLAND
Anahtar Kelimeler
Congenital heart diseases, Diagnostic approach, Newborn infant, Rough set theory
Kaynak
3rd International Conference on Human System Interaction
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
Sayı
Künye
Kaya, E., Oran, B., Arslan, A., (2010). A Rough Sets Approach for Diagnositc M-Mode Evaluation in Newborn with Congernital Heart Diseases. 3rd International Conference on Human System Interaction, 119-123.
