Antenatal fetal risk assessment using a neurofuzzy technique

IEEE Engineering in Medicine and Biology Magazine

Volumn 20, Issue 6, 2001, Pages 165-169

  Gurgen, Fikret ^a   Guler, Nilgun ^b   Varol, Fusun ^c  

^a BOGAZICI UNIVERSITY   (Turkey)

^b YILDIZ TECHNICAL UNIVERSITY   (Turkey)

^c TRAKYA UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BLOOD FLOW VELOCITY; BRAIN ARTERY; DOPPLER FLOWMETRY; FETUS HYPOXIA; FETUS RISK; GESTATIONAL AGE; HUMAN; INTRAUTERINE GROWTH RETARDATION; MODEL; PRENATAL DIAGNOSIS; PULSATILE FLOW; REVIEW; RISK ASSESSMENT; UMBILICAL ARTERY;

CEREBRAL ARTERIES; FEMALE; FETAL HYPOXIA; FETAL MONITORING; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PREGNANCY; PREGNANCY OUTCOME; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES; ULTRASONOGRAPHY, PRENATAL; UMBILICAL ARTERIES;

EID: 0035704497     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.982288     Document Type: Review

References (16)

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5. Cerebral and umblical arterial blood flow velocity waveforms in normal and growth retarded pregnancies
6. Neural-network-based decision making in diagnostic applications
7. IUGR detection by ultrasonographic examinations using neural networks
8. Fuzzy identification of systems and its applications to modelling and control
9. Phoneme recognition with neural networks using a novel fuzzy training algorithm