Evaluation of prolonged fetal monitoring with normal and pathologic outcome probabilities determined by artificial neural network

Fetal Diagnosis and Therapy

Volumn 18, Issue 5, 2003, Pages 370-375

  Maeda, Kazuo ^a,c   Noguchi, Yasuaki ^b   Matsumoto, Fujihiko ^b  

^a TOTTORI UNIVERSITY   (Japan)

^b NATIONAL DEFENSE ACADEMY   (Japan)

^c NONE   (Japan)

Author keywords

Artificial neural network; Fetal heart rate; Neonatal condition; Outcome probability; Prolonged monitoring

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CARDIOTOCOGRAPHY; COMPARATIVE STUDY; CONTROLLED STUDY; DATA ANALYSIS; DEPRESSION; EVALUATION; FETUS HEART RATE; FETUS MONITORING; HUMAN; NEWBORN; NORMAL HUMAN; PARAMETER; PATHOLOGY; PRIORITY JOURNAL; RECORDING;

FEMALE; FETAL MONITORING; HEART RATE, FETAL; HUMANS; NEURAL NETWORKS (COMPUTER); PREGNANCY; PREGNANCY COMPLICATIONS; PREGNANCY OUTCOME;

EID: 0041660645     PISSN: 10153837     EISSN: None     Source Type: Journal    
DOI: 10.1159/000071982     Document Type: Article

References (8)

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7. Maeda K, Utsu M, Makio A, Serizawa M, Noguchi Y, Hamada T, Mariko K, Matsumoto F: Neural network computer analysis of fetal heart rate. J Matern Fetal Investig 1998;8:163-171.
8. Maeda K, Utsu M, Noguchi Y, et al: Assessment of intrapartum fetal heart rate by an automated system composed of neural network and experts knowledge computers; in Cosmi EV (ed): The Fetus as a Patient. XVI International Congress. 2000, pp 389-395.