Guler N.Gurgen F.Varol F.2024-06-122024-06-1219999608052165https://hdl.handle.net/20.500.14551/17774Our 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.eninfo:eu-repo/semantics/closedAccessArtificial Neural Networks; Discriminant Functions; Doppler Measurements; Growth Retarded Pergnancies; Hypoxia; Umblical ArteryDiagnosis; Doppler Effect; Functions; Health Care; Neural Networks; Parameter Estimation; Ultrasonics; Velocity Control; Waveform Analysis; Discriminant Functions; Growth Retarded Pergnancies; Hypoxia; Umblical Artery; BloodArticle1861902-s2.0-0004095485N/A