Understanding birthing mode decision making using artificial neural networks

Medical Decision Making

Volumn 21, Issue 6, 2001, Pages 433-443

  MacDowell, Martin ^a   Somoza, Eugene ^b   Rothe, Kenneth ^a   Frye, Richard ^c   Brady, Kim ^d   Bocklet, Albert ^a  

^a XAVIER UNIVERSITY   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

^c Department of Clinical Dermatology   (United States)

^d Good Samaritan Hospital   (United States)

Author keywords

Artificial neural networks; Birth; Birth mode; Cesarean section; Information theory; Obstetrics; Physician decision making; Receiver operating characteristic analysis

Indexed keywords

ACCURACY; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CESAREAN SECTION; CLINICAL PRACTICE; DELIVERY; FEMALE; HUMAN; INFORMATION SCIENCE; MAJOR CLINICAL STUDY; MEDICAL DECISION MAKING; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; SENSITIVITY AND SPECIFICITY; TECHNIQUE;

EID: 0035172391     PISSN: 0272989X     EISSN: None     Source Type: Journal    
DOI: 10.1177/0272989X0102100601     Document Type: Article

References (55)

1. Rates of cesarean and vaginal birth after previous cesarean, 1991-95
2. Cesarean section delivery in the 1980s: International comparison by indication
3. The Green Bay cesarean section study, I: The physician factor as a determinant of cesarean birth rates
4. Modern indications for cesarean section
5. The contribution of dystocia to the cesarean section rate
6. Effect of epidural analgesia for labor on the cesarean delivery rate
7. Factors contributing to the increased cesarean birth rate in older parturient women
8. Factors that influence route of delivery - Active versus traditional labor management
9. Elective induction versus spontaneous labor after sonographic diagnosis of fetal macrosomia
10. Cesarean birth for failed progress in labor
11. Advanced maternal age as a risk factor for cesarean delivery
12. Variations in the use of cesarean delivery for dystocia: Lessons about the source of care
13. Ranking the risk factors for cesarean: Logistic regression analysis of a nationwide study
14. Vaginal delivery following cesarean section: Use of oxytocin augmentation and epidural anesthesia with internal tocodynamic and internal fetal monitoring
15. Strategies to avoid unnecessary cesarean sections
16. Management of twin pregnancy
17. The premature breech: Caesarean section or trial of labour?
18. The Yolo County midwifery service: A descriptive study of 496 singleton birth outcomes, 1990
19. The role of selection bias in comparing cesarean birth rates between physician and midwifery management
20. The impact of nonclinical factors on repeat cesarean section
21. The effect of health coverage for uninsured pregnant women on maternal health and the use of cesarean section
22. The effect of physician factors on the cesarean section decision
23. Temporal variation in rates of cesarean section for dystocia: Does convenience play a role?
24. Outcomes of hospital-based managed care: A multivariate analysis of cost and quality
25. Neural networks in clinical medicine
26. Advantages and disadvantages of using artificial neural networks versus logistic regression in predicting medical outcomes
27. Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm
28. Neural networks: A review from a statistical perspective
29. Basic principles of ROC analysis
30. Measuring the accuracy of diagnostic systems
31. ROC curves, test accuracy, and the description of diagnostic tests
32. A mathematical theory of communication
33. Evaluation of receiver operating characteristic curve data in terms of information theory with applications in radiography
34. Evaluation and optimization of diagnostic tests using receiver operating characteristic analysis and information theory
35. Comparing and optimizing diagnostic tests: An information-theoretical approach
36. Evaluation of neural network performance by receiver operating characteristic (ROC) analysis: Examples from the biotechnology domain
37. Evaluation of a neural network classifier for PET scans of normal and Alzheimer's disease subjects
38. A neural network approach to predicting admission decisions in a psychiatric emergency room
39. ROC recollected
40. What would it take for electrophysiology to become clinically useful
41. Classifying binormal diagnostic tests using separation-asymmetry diagrams with constant-performance curves
42. The meaning and use of the area under a receiver operating characteristic (ROC) curve
43. A comparison of human and machine-based predictions of successful weaning from mechanical ventilation
44. Neuropsychiatric decision making: The role of disorder prevalence in diagnostic testing
45. Artificial neural networks: Are they ready for use as clinical decision aids?