Predicting the risk of squamous dysplasia and esophageal squamous cell carcinoma using minimum classification error method

[1]  Reza Malekzadeh,et al.  A variable structure fuzzy neural network model of squamous dysplasia and esophageal squamous cell carcinoma based on a global chaotic optimization algorithm. , 2013, Journal of theoretical biology.

[2]  Reza Malekzadeh,et al.  Modeling the risk of esophageal squamous cell carcinoma and squamous dysplasia in a high risk area in Iran. , 2012, Archives of Iranian medicine.

[3]  A. Jemal,et al.  Cancer Statistics, 2010 , 2010, CA: a cancer journal for clinicians.

[4]  Blaise Hanczar,et al.  Small-sample precision of ROC-related estimates , 2010, Bioinform..

[5]  Michael Collins,et al.  EM Algorithm , 2010, Encyclopedia of Machine Learning.

[6]  David J. Hand,et al.  Measuring classifier performance: a coherent alternative to the area under the ROC curve , 2009, Machine Learning.

[7]  Jon Wakefield,et al.  Socio-economic status and oesophageal cancer: results from a population-based case-control study in a high-risk area. , 2009, International journal of epidemiology.

[8]  Paolo Boffetta,et al.  High‐temperature beverages and foods and esophageal cancer risk—A systematic review , 2009, International journal of cancer.

[9]  Dong Yu,et al.  Discriminative pronounciation learning using phonetic decoder and minimum-classification-error criterion , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[10]  Reza Malekzadeh,et al.  Tooth Loss and Lack of Regular Oral Hygiene Are Associated with Higher Risk of Esophageal Squamous Cell Carcinoma , 2008, Cancer Epidemiology Biomarkers & Prevention.

[11]  P Boffetta,et al.  Opium, tobacco, and alcohol use in relation to oesophageal squamous cell carcinoma in a high-risk area of Iran , 2008, British Journal of Cancer.

[12]  R. Real,et al.  AUC: a misleading measure of the performance of predictive distribution models , 2008 .

[13]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[14]  Jonathan Le Roux,et al.  Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[15]  Reza Malekzadeh,et al.  Familial risks of esophageal cancer among the Turkmen population of the Caspian littoral of Iran , 2006, International journal of cancer.

[16]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[17]  P R Taylor,et al.  Black oesophagus—cause? , 2005, Gut.

[18]  Duane Szafron,et al.  Improving Protein Function Prediction using the Hierarchical Structure of the Gene Ontology , 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

[19]  Zhiyong Lu,et al.  Predicting subcellular localization of proteins using machine-learned classifiers , 2004, Bioinform..

[20]  Thomas Layloff,et al.  Analytical Methods Validation: Bioavailability, Bioequivalence and Pharmacokinetic Studies , 1992, Pharmaceutical Research.

[21]  Steffi Oesterreich,et al.  New Mechanisms of Signal Transduction Inhibitor Action , 2003 .

[22]  Kuldip K. Paliwal,et al.  A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction , 2002, J. VLSI Signal Process..

[23]  Majid Mirmehdi,et al.  Classification and Localisation of Diabetic-Related Eye Disease , 2002, ECCV.

[24]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[25]  A. Jemal,et al.  Global cancer statistics , 2011, CA: a cancer journal for clinicians.

[26]  P R Taylor,et al.  Mucosal iodine staining improves endoscopic visualization of squamous dysplasia and squamous cell carcinoma of the esophagus in linxian, china , 1998, Cancer.

[27]  Biing-Hwang Juang,et al.  Minimum classification error rate methods for speech recognition , 1997, IEEE Trans. Speech Audio Process..

[28]  M. Lawera Predictive inference : an introduction , 1995 .

[29]  Seymour Geisser,et al.  8. Predictive Inference: An Introduction , 1995 .

[30]  N. Dubrawsky Cancer statistics , 1989, CA: a cancer journal for clinicians.

[31]  E. B. Andersen,et al.  Information Science and Statistics , 1986 .

[32]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[33]  J. Duffus,et al.  Opium , 1876, Edinburgh medical journal.