Advances in medical decision support systems
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[1] Elif Derya Übeyli. Detection of arterial disorders by spectral analysis techniques. , 2007 .
[2] Elif Derya Übeyli. Comparison of different classification algorithms in clinical decision‐making , 2007, Expert Syst. J. Knowl. Eng..
[3] Elif Derya Übeyli,et al. AR Spectral Analysis Technique for Human PPG, ECG and EEG Signals , 2007, Journal of Medical Systems.
[4] Elif Derya íbeyli. Probabilistic neural networks employing Lyapunov exponents for analysis of Doppler ultrasound signals , 2008 .
[5] Elif Derya Übeyli. Implementing wavelet transform/mixture of experts network for analysis of electrocardiogram beats , 2008, Expert Syst. J. Knowl. Eng..
[6] Elif Derya Übeyli. Usage of eigenvector methods in implementation of automated diagnostic systems for ECG beats , 2008, Digit. Signal Process..
[7] Mamun Bin Ibne Reaz,et al. Electromyography signal analysis using wavelet transform and higher order statistics to determine muscle contraction , 2009, Expert Syst. J. Knowl. Eng..
[8] Bülent Yilmaz,et al. Feasibility of probabilistic neural networks, Kohonen self‐organizing maps and fuzzy clustering for source localization of ventricular focal arrhythmias from intravenous catheter measurements , 2009, Expert Syst. J. Knowl. Eng..
[9] Elif Derya íbeyli. Implementing automated diagnostic systems for breast cancer detection , 2007 .
[10] Yücel Koçyigit,et al. Differentiating types of muscle movements using a wavelet based fuzzy clustering neural network , 2009, Expert Syst. J. Knowl. Eng..
[11] Lluís A. Belanche Muñoz,et al. Gene subset selection in microarray data using entropic filtering for cancer classification , 2009, Expert Syst. J. Knowl. Eng..
[12] Chong-Ho Choi,et al. Input feature selection for classification problems , 2002, IEEE Trans. Neural Networks.
[13] Alireza Sadeghian,et al. A theoretic framework for intelligent expert systems in medical encounter evaluation , 2009, Expert Syst. J. Knowl. Eng..
[14] Elif Derya íbeyli. Combining eigenvector methods and support vector machines for detecting variability of Doppler ultrasound signals , 2007 .
[15] Elif Derya Übeyli. Detection of electrocardiogram beats using a fuzzy similarity index , 2007, Expert Syst. J. Knowl. Eng..
[16] Sameh A. Salem,et al. Augmentation of a nearest neighbour clustering algorithm with a partial supervision strategy for biomedical data classification , 2009, Expert Syst. J. Knowl. Eng..
[17] Kemal Polat,et al. Comparison of different classifier algorithms for diagnosing macular and optic nerve diseases , 2009, Expert Syst. J. Knowl. Eng..
[18] Kai Liu,et al. A novel large-memory neural network as an aid in medical diagnosis applications , 2001, IEEE Transactions on Information Technology in Biomedicine.
[19] Vivian West,et al. Model selection for a medical diagnostic decision support system: a breast cancer detection case , 2000, Artif. Intell. Medicine.
[20] Dursun Delen,et al. Analysis of cancer data: a data mining approach , 2009, Expert Syst. J. Knowl. Eng..
[21] Sarabjeet Singh Mehta,et al. Detection and delineation of P and T waves in 12-lead electrocardiograms , 2009, Expert Syst. J. Knowl. Eng..
[22] Elif Derya Übeyli. ECG beats classification using multiclass support vector machines with error correcting output codes , 2007, Digit. Signal Process..
[23] Young Woong Ko,et al. A study on application of single nucleotide polymorphism and machine learning techniques to diagnosis of chronic hepatitis , 2009, Expert Syst. J. Knowl. Eng..
[24] Vivian West,et al. Improving diagnostic accuracy using a hierarchical neural network to model decision subtasks , 2000, Int. J. Medical Informatics.