Parameter selection for and implementation of a web-based decision-support tool to predict extubation outcome in premature infants

BMC Medical Informatics and Decision Making

Volumn 6, Issue , 2006, Pages

  Mueller, Martina ^a   Wagner, Carol L ^b   Annibale, David J ^b   Knapp, Rebecca G ^a   Hulsey, Thomas C ^b   Almeida, Jonas S ^c  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^c UNIVERSITY OF TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL VENTILATION; DECISION SUPPORT SYSTEM; EXTUBATION; FEMALE; HUMAN; INFANT; INTERMETHOD COMPARISON; INTERNET; MAJOR CLINICAL STUDY; MALE; PARAMETER; PATIENT CARE; PREDICTION; PREMATURITY; STATISTICAL SIGNIFICANCE; TREATMENT OUTCOME; BIRTH WEIGHT; CLINICAL DECISION SUPPORT SYSTEM; COMPUTER LANGUAGE; DECISION MAKING; EXPERT SYSTEM; GESTATIONAL AGE; NEONATAL INTENSIVE CARE UNIT; NEWBORN; PROGNOSIS; RESPIRATORY DISTRESS SYNDROME, NEWBORN; RISK MANAGEMENT; TIME FACTOR;

BIRTH WEIGHT; DECISION MAKING; DECISION SUPPORT SYSTEMS, CLINICAL; EXPERT SYSTEMS; FEMALE; GESTATIONAL AGE; HUMANS; INFANT, NEWBORN; INFANT, PREMATURE; INTENSIVE CARE UNITS, NEONATAL; INTERNET; MALE; PROGNOSIS; PROGRAMMING LANGUAGES; RESPIRATION, ARTIFICIAL; RESPIRATORY DISTRESS SYNDROME, NEWBORN; RISK MANAGEMENT; TIME FACTORS; TREATMENT OUTCOME;

EID: 33645310613     PISSN: 14726947     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-6-11     Document Type: Article

References (34)

1. Hack M, Wright LL, Shankaran S, Tyson JE, Horbar JD, Bauer CR, Younes N: Very-low-birth-weight outcomes of the National Institute of Child Health and Human Development Neonatal Network, November 1989 to October 1990. Am J Obstet Gynecol 1995, 172(2 Pt 1):457-64.
2. Kavvadia V, Greenough A, Dimitriou G: Prediction of extubation failure in preterm neonates. Eur J Pediatr 2000, 159:227-231.
3. Fox WW, Schwartz JG, Shaffer TH: Successful extubation of neonates: Clinical and physiological factors. Crit Care Med 1981, 9(12):823-826.
4. Sillos EM, Veber M, Schulman M, Krauss AN, Auld PAM: Characteristics associated with successful weaning in ventilator-dependent preterm infants. Am J Perinatol 1992, 9(5/6):374-377.
5. Dimitriou G, Greenough A: Computer assisted analysis of the chest radiograph lung area and prediction of failure of extubation from mechanical ventilation in preterm neonates. Br J Radiol 2000, 73:156-159.
6. Dimitriou G, Greenough A, Endo A, Cherian S, Rafferty GF: Prediction of extubation failure in preterm infants. Arch Dis Child Fetal Neonatal Ed 2002, 86:F32-F35.
7. Spitzer AR: Intensive Care of the Fetus and Neonate. St. Louis: Mosby; 1996.
8. daSilva O, Stevens D: Complications of Airway Management in Very-Low-Birth-Weight Infants. Biol Neonate 1999, 75:40-45.
9. Gottschalk A, Hyzer C, Geer RT: Comparison of Human and Machine-based Predictions of Successful Weaning from Mechanical Ventilation. Med Decis Making 2000, 20(2):160-169.
10. Ashutosh K, Lee H, Mohan CK, Ranka S, Mehrotra K, Alexander C: Prediction criteria for successful weaning from respiratory support: Statistical and connectionist analyses. Crit Care Med 1992, 20(9):1295-1301.
11. Mueller M, Wagner CL, Annibale DJ, Hulsey TC, Knapp RG, Almeida JS: Predicting Extubation Outcome in Preterm Newborns: a Comparison of Neural Networks with Clinical Expertise and Statistical Modeling. Pediatr Res 2004, 56(1):11-17.
12. Rogowski JA, Horbar JD, Plsek PE, Baker LS, Deterding J, Edwards WH, Hocker J, Kantak AD, Lewallen P, Lewis W, Lewit E, McCarroll CJ, Mujsce D, Payne NR, Shiono P, Soll RF, Leahy K: Economic Implications of Neonatal Intensive Care Unit Collaborative Quality Improvement. Pediatrics 2001, 107:23-29.
13. Ely EW, Bsker AM, Dunagan DP, Burke HL, Smith AC, Kelly PT, Johnson MM, Browder RW, Bowton DL, HAponik EF: Effect on the Duration of Mechanical Ventilation of Identifying Patients Capable of Breathing Spontaneously. The N Engl J Med 1996, 335(25):1864-1869.
14. Haimes YY, Barry T, Lambert JH, (Editors): Workshop Proceedings - When and How Can You Specify a Probability Distribution When You Don't Know Much? Risk Anal 1994, 14(5):661-703.
15. Sinha SK, Donn SM: Weaning from assisted ventilation: art or science? Arch Dis Child Fetal Neonatal Ed 2000, 83:F64-F7.
16. Henderson-Smart DJ, Davis PG: Prophylactic methylxanthine for extubation in preterm infants (Cochrane Review). The Cochrane Library, Oxford: Updated Software 2001.
17. Carlo WA, Martin RJ: Principles of neonatal assisted ventilation. Pediatr Clin North Am 1986, 33(1):221-37.
18. Ericsson KA, Simon HA: Protocol analysis: Verbal reports as data. Revised edition. Cambridge, MA: Bradford Books/MIT Press; 1984:78-83.
19. Weigend AS, Rumelhart DE, Huberman BA: Generalization by weight elimination with application to forecasting. In Advances in Neural Information Processing Systems 3 Edited by: Lippmann RP, Moody J, Touretzky DS. Morgan Kaufman; 1991:875-882.
20. Bishop CM: Neural Networks for Pattern Recognition Oxford: Clarendon Press; 1995.
21. Reed RD, Marks RJ II: Neural Smithing - Supervised Learning in Feedforward Artificial Neural Networks. Cambridge, Massachusetts; London, England: A Bradford Book; MIT Press; 1999:239-290.
22. Almeida J: Predictive Non-linear Modeling of Complex Data by Artificial Neural Networks. Curr Opin Biotechnol 2002, 13:72-76.
23. Myers RH: Classical and modern regression with applications. 2nd edition. Belmont CA: Duxbury Press; 1990:317-325.
24. SAS 2001: SAS software. Version 8.2 of the SAS System for Windows95/98. Copyright © 1999-2001 SAS Institute Inc. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc., Cary, NC, USA.
25. Goodenough DJ, Rossman K, Lusted LB: Radiographic Applications of Receiver Operating Characteristic (ROC) Curves. Radiology 1974, 110:89-95.
26. Hunter A, Kennedy L, Henry J, Ferguson I: Application of neural networks and sensitivity analysis to improved prediction of trauma survival. Comput Methods Programs Biomed 2000, 62:11-19.
27. MATLAB. Version 6, Release 13, © 1984-2002 The Mathworks, Inc.
28. York J, Deveo M: Health Issues in Survivors of Prematurity. South Med J 2002, 95(9):969-976.
29. Dimitriou G, Patel J, Greenough A: Prediction of extubation failure in infants. European Perinatal Meeting, Athens 2004.
30. Balsan MJ, Jones JG, Watchko JF, Guthrie RD: Measurements of pulmonary mechanics prior to the elective extubation of neonates. Pediatr Pulmonol 1990, 9:238-243.
31. Ennett CM, Frize M, Walker CR: Influence of Missing Values on Artificial Neural Network Performance. Medinfo 2001, 10(Pt1):449-453.
32. The Premies Project [http://premiesprediction.org]
33. Wulff HR: How to Make the Best Decision - Philosophical Aspects of Clinical Decision Theory. Med Decis Making 1981, 1(3):277-283.
34. MacCallum RC, Mar CM: Distinguishing Between Moderator and Quadratic Effects in Multiple Regression. Psychol Bull 1995, 118(3):405-421.