Abstract
This paper investigates the issues of data properties with various local, piecewise, global, mixture of experts (ME) and boundary-optimized classifiers in medical decision making cases. A local k-nearest neighbor (k-NN), piecewise decision tree C4.5 and CART algorithms, global multilayer perceptron (MLP), mixture of experts (ME) algorithm based on normalized radial basis function (RBF) net and boundary-optimized support vector machines (SVM) algorithm are applied to three cases with different data sizes : A stroke risk factors discrimination case with a small data size N, an antenatal hypoxia discrimination case with a med ium data size N and an intranatal hypoxia monitoring case with a reasonably large data size individual classification cases. Normalized RBF, MLP classifiers give good results in the studied decision making cases. The parameter setting of SVM is adjustable to various receiver operating characteristics (ROC).
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Guler, N., Gurgen, F.S., Arikan, G.M.: The Accuracy and Reliability of Oxygen Saturation Prediction in Neurofuzzy Intranatal Risk Assessment Decision. In: Proceedings of ICANN/ICONIP (2003)
Rao, A.V., et al.: Mixture of Experts Regression Modeling by Deterministic Annealing. IEEE Trans. Signal Processing 45(11) (1997)
Jacobs, R.A., Jordan, M.I., Nowlan, S.J., Hinton, G.E.: Adaptive Mixture of Local Experts. Neural Computation 3, 79–87 (1991)
Heckerman, D.: A Tutorial on Learning with Bayesian Networks. MIT Press, Cambridge (1999)
Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press, Inc., London (1990)
Ripley, B.D.: Pattern Recognation and Neural Networks. Cambridge Press, Cambridge (1996)
Nuller, K.R., Smola, A.J., Ratsch, G., Scholkopf, B., Kohlmorgen, J., Vapnik, V.: Predicting Time Series with Support Vector Machine. In: Gerstner, W., Hasler, M., Germond, A., Nicoud, J.-D. (eds.) ICANN 1997. LNCS, vol. 1327, pp. 999–1004. Springer, Heidelberg (1997)
Rudiger, B.: Medical Data Analysis. Springer, Heidelberg (2000)
Hand, D.J., Kok, J.N., Bertholt, M.R.: Advances in Intelligent Data Analysis. Springer, Heidelberg (1999)
Aydın, N., Esgin, H., Yılmaz, A., Gözeten, F., Utku, U.: Diabetes Mellitus’lu Non-Embolik Stroklu Olgularda Retinopati ve Diğer Risk Faktörleri. In: Türk Beyin Damar Hastalıkları Derneği 3. Symposium (1999)
Gurgen, F.S., Gurgen, N.: Intelligent Data Analysis to Interpret Major Risk Factors for Diabetic Patients with and without Ischemic Stroke in a Small Population. Biomedical Engineering (2003), http://www.biomedical-engineering-online.com/content/2/1/5
Mari, G., Copel, J.A.: Doppler Ultrasound: Fetal Physiology and Clinical Application. In: Sonography in Obstetrics and Gynecology: Principal and Practice, London (1996)
Resnik, C.J.A.: Doppler Ultrasound Assessment of Blood Flow. In: Maternal-Fetal Medicine, pp. 216–229. W.B. Saunders, Philadelphia (1999)
Gürgen, F., Güler, N., Varol, F.: Antenatal Fetal Risk Assessment by Blood-Flow Velocity Waveforms. IEEE Engineering in Medicine and Biology Magazine 19, 88–93 (2000)
Arikan, G.M., Scholz, H.S., Haeusler, M.C.H., Giuliani, A., Haas, J., Weiss, P.A.M.: Low Fetal Oxygen Saturation at Birth and Acidosis. Obstetrics & Gynecology 95(4), 565–571 (2000)
Dildy, G.A., Clark, S.L., Loucks, A.: Intrapartum Fetal Pulse Oximetry: Past, Present, and Future. Am. J. Obstet Gynecol. 175, 1–9 (1996)
Dildy, G.A., Thorp, J.A., Yeasti, J.D., Clark, S.L.: The Relationship Between Oxygen Saturation and pH in Umbilical Blood: Implications for Intrapartum Fetal Oxygen Saturation Monitoring. Am. J. Obstet Gynecol. 175, 682–687 (1996)
Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge (2004)
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Güler, N., Gürgen, F.S. (2004). The Effects of Data Properties on Local, Piecewise, Global, Mixture of Experts, and Boundary-Optimized Classifiers for Medical Decision Making. In: Aykanat, C., Dayar, T., Körpeoğlu, İ. (eds) Computer and Information Sciences - ISCIS 2004. ISCIS 2004. Lecture Notes in Computer Science, vol 3280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30182-0_6
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DOI: https://doi.org/10.1007/978-3-540-30182-0_6
Publisher Name: Springer, Berlin, Heidelberg
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