A Two-Step Knowledge Extraction Framework for Improving Disease Diagnosis
暂无分享,去创建一个
[1] Sanjay Kumar Malik,et al. Role of Soft Computing Approaches in HealthCare Domain: A Mini Review , 2016, Journal of Medical Systems.
[2] Chee Peng Lim,et al. A hybrid intelligent system for medical data classification , 2014, Expert Syst. Appl..
[3] Pasi Luukka,et al. Feature selection using fuzzy entropy measures with similarity classifier , 2011, Expert Syst. Appl..
[4] Aruna Tiwari,et al. Breast cancer diagnosis using Genetically Optimized Neural Network model , 2015, Expert Syst. Appl..
[5] H. Mcdonald,et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.
[6] Rudi Studer,et al. Intelligent Information Processing , 2002, IFIP — The International Federation for Information Processing.
[7] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[8] S. N. Deepa,et al. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier , 2015, TheScientificWorldJournal.
[9] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[10] V. S. Shankar Sriram,et al. Hypergraph Based Feature Selection Technique for Medical Diagnosis , 2016, Journal of Medical Systems.
[11] V. Prasad,et al. Thyroid disease diagnosis via hybrid architecture composing rough data sets theory and machine learning algorithms , 2016, Soft Comput..
[12] David W. Aha,et al. Instance-Based Learning Algorithms , 1991, Machine Learning.
[13] Jugal K. Kalita,et al. MIFS-ND: A mutual information-based feature selection method , 2014, Expert Syst. Appl..
[14] Peter Clark,et al. The CN2 Induction Algorithm , 1989, Machine Learning.
[15] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[16] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[17] Babita Pandey,et al. Intelligent techniques and applications in liver disorders: a survey , 2014 .
[18] Kourosh Mozafari,et al. Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA) , 2012, Comput. Methods Programs Biomed..
[19] Paulo J. G. Lisboa,et al. The Use of Artificial Neural Networks in Decision Support in Cancer: a Systematic Review , 2005 .
[20] Chao Tan,et al. Prediction of Type-2 Diabetes Based on Several Element Levels in Blood and Chemometrics , 2011, Biological Trace Element Research.
[21] Pei-Chann Chang,et al. A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification , 2011, Appl. Soft Comput..
[22] Paulo J. G. Lisboa,et al. A review of evidence of health benefit from artificial neural networks in medical intervention , 2002, Neural Networks.
[23] Andrzej Skowron,et al. Rough set methods in feature selection and recognition , 2003, Pattern Recognit. Lett..
[24] Ahmad Taher Azar,et al. A novel hybrid feature selection method based on rough set and improved harmony search , 2015, Neural Computing and Applications.
[25] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[26] David McSherry,et al. Conversational case-based reasoning in medical decision making , 2011, Artif. Intell. Medicine.
[27] Tao Li,et al. Recent advances in feature selection and its applications , 2017, Knowledge and Information Systems.
[28] R. Słowiński,et al. Rough sets approach to analysis of data from peritoneal lavage in acute pancreatitis. , 1988, Medical informatics = Medecine et informatique.
[29] E. Balas,et al. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.
[30] A. A. Rao,et al. A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes. , 2009, The Journal of the Association of Physicians of India.
[31] C. -Z. Ye,et al. Fuzzy rules to predict degree of malignancy in brain glioma , 2002, Medical and Biological Engineering and Computing.
[32] Nasser R. Sabar,et al. An Exponential Monte-Carlo algorithm for feature selection problems , 2014, Comput. Ind. Eng..
[33] L. Moja,et al. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. , 2014, American journal of public health.
[34] Robert F. Harrison,et al. Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks , 1996, Artif. Intell. Medicine.
[35] Praveen Kumar,et al. Improving the Prediction Rate of Diabetes Diagnosis Using Fuzzy, Neural Network, Case Based (FNC) Approach , 2012 .
[36] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[37] Z. Pawlak,et al. Rough set approach to multi-attribute decision analysis , 1994 .
[38] Max Bramer,et al. An Information-Theoretic Approach to the Pre-pruning of Classification Rules , 2002, Intelligent Information Processing.
[39] Isabelle Bichindaritz,et al. Synergistic case-based reasoning in medical domains , 2014, Expert Syst. Appl..
[40] Xiaoyong Liu,et al. PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses , 2014, TheScientificWorldJournal.
[41] Shusaku Tsumoto,et al. Evaluation of rule interestingness measures in medical knowledge discovery in databases , 2007, Artif. Intell. Medicine.
[42] Sanchita Paul,et al. GA_RBF NN: a classification system for diabetes , 2017 .
[43] Jadzia Cendrowska,et al. PRISM: An Algorithm for Inducing Modular Rules , 1987, Int. J. Man Mach. Stud..
[44] LiMin Fu,et al. Knowledge discovery based on neural networks , 1999, Commun. ACM.
[45] Arif Gülten,et al. Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases , 2013, Digit. Signal Process..
[46] Kavishwar B. Wagholikar,et al. Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions , 2012, Journal of Medical Systems.
[47] Alan C. Bovik,et al. Computer-Aided Detection and Diagnosis in Mammography , 2005 .
[48] Bikash Kanti Sarkar,et al. A case study on partitioning data for classification , 2016, Int. J. Inf. Decis. Sci..
[49] Jan M. Zytkow,et al. Handbook of Data Mining and Knowledge Discovery , 2002 .
[50] Guoqiang Peter Zhang,et al. Neural networks for classification: a survey , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[51] Shusaku Tsumoto,et al. Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model , 2004, Inf. Sci..
[52] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[53] Dhruba K. Bhattacharyya,et al. Network Anomaly Detection: A Machine Learning Perspective , 2013 .