Classification of postural profiles among mouth-breathing children by learning vector quantization

Methods of Information in Medicine

Volumn 50, Issue 4, 2011, Pages 349-357

  Mancini, F ^a,b   Sousa, F S ^a   Hummel, A D ^a   Falcao A E J ^a   Yi, L C ^a   Ortolani, C F ^c   Sigulem, D ^a   Pisa, Ivan Torres ^a  

^a FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

^b INSTITUTO FEDERAL DE EDUCAÇÃO   (Brazil)

^c PAULISTA UNIVERSITY   (Brazil)

Author keywords

Clinical decision support systems; Neural Networks (Computer); Posture and mouth breathing

Indexed keywords

AGE; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BODY POSTURE; CHILD; CHILD WELFARE; COMPUTER PROGRAM; DECISION SUPPORT SYSTEM; FEASIBILITY STUDY; HUMAN; LEARNING; MOUTH BREATHING; NORMAL DISTRIBUTION; PATHOLOGY; PHYSIOLOGY; PRESCHOOL CHILD; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

AGE FACTORS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHILD; CHILD WELFARE; CHILD, PRESCHOOL; DECISION SUPPORT SYSTEMS, CLINICAL; FEASIBILITY STUDIES; HUMANS; LEARNING; MOUTH BREATHING; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; POSTURE; ROC CURVE; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 83455195784     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME09-01-0039     Document Type: Article

References (41)

1. Guyton AC, Hall JE. Textbook of Medical Physiology. 11th ed. Saunders; 2005.
2. Hess DR, Bigatello LM. The chest wall in acute lung injury/acute respiratory distress syndrome. Curr Opin Crit Care 2008; 14 (1): 94-102.
3. Weider DJ, Baker GL, Salvatoriello FW. Dental malocclusion and upper airway obstruction, an otolaryngologist's perspective. Int J Pediatr Otorhinolaryngol 2003; 67 (4): 323-331.
4. Hruska RJ. Influences of dysfunctional respiratory mechanics on orofacial pain. Dent Clin North Am 1997; 41 (2): 211-227.
5. Jardim JR, Camelier A, Dal Corso S, Rodrigues JE. Strength and endurance of the respiratory and handgrip muscles after the use of flunisolide in normal subjects. Respir Med 2007; 101 (7): 1594-1599.
6. Hamaoui A, Le Bozec S, Poupard L, Bouisset S. Does postural chain muscular stiffness reduce postural steadiness in a sitting posture? Gait Posture 2007; 25 (2): 199-204.
7. Cossette I, Monaco P, Aliverti A, Macklem PT. Chest wall dynamics and muscle recruitment during professional flute playing. Respir Physiol Neurobiol 2008; 160 (2): 187-195.
8. Greenough A, Dimitriou G, Prendergast M, Milner AD. Synchronized mechanical ventilation for respiratory support in newborn infants. Cochrane Database Syst Rev 2008; (1): CD000456.
9. Corrêa ECR, Bérzin F. Efficacy of physical therapy on cervical muscle activity and on body posture in school-age mouth breathing children. Int J Pediatr Otorhinolaryngol 2007; 71 (10): 1527-1535.
10. Yi LC, Jardim JR, Inoue DP, Pignatari SSN. The relationship between excursion of the diaphragm and curvatures of the spinal column in mouth breathing children. J Pediatr (Rio J) 2008; 84 (2): 171-177.
11. Shortliffe EH, Cimino JJ. Biomedical Informatics: Computer Applications in Health Care and Biomedicine. 3rd ed. Springer; 2006.
12. Lisboa PJG. A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Netw 2002; 15 (1): 11-39.
13. Akay M. Nonlinear Biomedical Signal Processing, Fuzzy Logic, Neural Networks, and New Algorithms. IEEE Press Series on Biomedical Engineering. Wiley-IEEE Press; 2000.
14. Bishop CM. Pattern Recognition and Machine Learning. 1st ed. Springer; 2007.
15. Lisboa PJ, Ifeachor EC, Szczepaniak PS. Artificial Neural Networks in Biomedicine. 1st ed. Springer; 2000.
16. Campos LFA, Silva AC, Barros AK. Independent component analysis and neural networks applied for classification of malignant, benign and normal tissue in digital mammography. Methods Inf Med 2007; 46 (2): 212-215.
17. Tzallas AT, Karvelis PS, Katsis CD, Fotiadis DI, Giannopoulos S, Konitsiotis S. A method for classification of transient events in EEG recordings: application to epilepsy diagnosis. Methods Inf Med 2006; 45 (6): 610-621.
18. Linder R, König IR, Weimar C, Diener HC, Pöppl SJ, Ziegler A. Two models for outcome prediction-a comparison of logistic regression and neural networks. Methods Inf Med 2006; 45 (5): 536.
19. Haykin S. Neural Networks: A Comprehensive Foundation. 2nd ed. Prentice Hall; 1998.
20. Duda RO, Hart PE, Stork DG. Pattern Classification. 2nd ed. Wiley-Interscience; 2000.
21. Heckerling PS, Canaris GJ, Flach SD, Tape TG, Wigton RS, Gerber BS. Predictors of urinary tract infection based on artificial neural networks and genetic algorithms. Int J Med Inform 2007; 76 (4): 289-296.
22. Mancini F, Alves D, Shizue Nagata Pignatari S, Yi Liu C, Torres Pisa I. Postural qualitative analysis in mouth breath children. Physical Therapy in Movement 2007; 20 (2): 119-126.
23. Kohonen T. Self-Organizing Maps. 3rd ed. Springer; 2000.
24. Du K. Clustering: A neural network approach. Neural Networks (Internet). Cited: Nov 14, 2009. In Press, Corrected Proof. Available from: http:// www.sciencedirect.com/science/article/B6T08-4X3W45J-2/2/ee12f68ee20eb829d8b0a655d64bb eb0
25. Bellazzi R, Zupan B. Predictive data mining in clinical medicine: current issues and guidelines. Int J Med Inform 2008; 77 (2): 81-97.
26. Witten IH, Frank E. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. 2nd ed. Morgan Kaufmann; 2005.
27. John GH, Langley P. Estimating continuous distributions in Bayesian classifiers. In: Proceedings of the eleventh conference on uncertainty in artificial intelligence. 1995. pp 338-345.
28. Quinlan JR. C4. 5: programs for machine learning. Morgan Kaufmann; 2003.
29. Cleary JG, Trigg LE. K*: An Instance-based Learner Using an Entropic Distance Measure. In: Machine Learning-international workshop conference. 1995. pp 108-114.
30. Aha DW, Kibler D, Albert MK. Instance-based learning algorithms. Machine learning 1991; 6 (1): 37-66.
31. Cristianini N, Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. 1st ed. Cambridge University Press; 2000.
32. Brodsky L. Modern assessment of tonsils and adenoids. Pediatric clinics of North America. 1989; 36 (6): 1551.
33. Demšar J. Statistical comparisons of classifiers over multiple data sets. The Journal of Machine Learning Research 2006; 7: 1-30.
34. Pesonen E, Eskelinen M, Juhola M. Comparison of different neural network algorithms in the diagnosis of acute appendicitis. Int J Biomed Comput 1996; 40 (3): 227-233.
35. Dieterle F, Müller-Hagedorn S, Liebich HM, Gauglitz G. Urinary nucleosides as potential tumor markers evaluated by learning vector quantization. Artif Intell Med 2003; 28 (3): 265-279.
36. Burnham KP, Anderson D. Model Selection and Multi-Model Inference. 2nd ed. Springer; 2003.
37. Metz CE. Basic principles of ROC analysis. In: Seminars in nuclear medicine. Semin Nucl Med 1978. pp 283.
38. Davison AC, Hinkley DV. Bootstrap Methods and Their Application. 1st ed. Cambridge University Press; 1997.
39. Altman DG. Practical Statistics for Medical Research. 1st ed. Chapman & Hall/CRC; 1990.
40. Alhoniemi E, Himberg J, Parhankangas J, Vesanto J. SOM Toolbox (Internet). Laboratory of Information and Computer Science, Helsinki University of Technology: Available from: http://www.cis.hut.fi/ projects/somtoolbox/
41. Markey MK, Lo JY, Tourassi GD, Floyd CE. Selforganizing map for cluster analysis of a breast cancer database. Artif Intell Med 2003; 27 (2): 113-127.