Decision of normal and growth retarded pregnancies by discriminant functions using umblical arterial blood flows velocity waveforms
Küçük Resim Yok
Tarih
1999
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
World Scientific and Engineering Academy and Society
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Our study employs discriminant function based classifiers to make a decision about the health conditions of fetuses using the measurements by Doppler ultrasound. We use the measurements of umblical artery (UA) blood flow velocity waveforms and derive linear, quadratic and a nonlinear discriminant functions to learn and to decide the status of fetus. The measured parameters are gestational age in terms of weeks (week index: WI as a normalized value), pulsality index (PI), resistance index (RI) and Systolic/Diastolic ratio (S/D). With these indices and limited data, a decision success rate of up to 93.65 % is achieved. It has been demonstrated that linear disriminant analysis (LDA), quadratic disriminant analysis (QDA) and artificial neural network (ANN- nonlinear disriminant analysis) may be a reasonable medical aid to phycisians in diagnosis of fetal hypoxia.
Açıklama
Anahtar Kelimeler
Artificial Neural Networks; Discriminant Functions; Doppler Measurements; Growth Retarded Pergnancies; Hypoxia; Umblical Artery, Diagnosis; Doppler Effect; Functions; Health Care; Neural Networks; Parameter Estimation; Ultrasonics; Velocity Control; Waveform Analysis; Discriminant Functions; Growth Retarded Pergnancies; Hypoxia; Umblical Artery; Blood
Kaynak
Advances in Intelligent Systems and Computer Science
WoS Q Değeri
Scopus Q Değeri
N/A
