A Two-Step Knowledge Extraction Framework for Improving Disease Diagnosis

[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 .