An intelligent hybrid approach for hepatitis disease diagnosis: Combining enhanced k-means clustering and improved ensemble learning

[1]  David W. Opitz,et al.  An Empirical Evaluation of Bagging and Boosting , 1997, AAAI/IAAI.

[2]  Olgierd Unold,et al.  Mining fuzzy rules using an Artificial Immune System with fuzzy partition learning , 2011, Appl. Soft Comput..

[3]  Oscar Camacho Nieto,et al.  An associative memory approach to medical decision support systems , 2012, Comput. Methods Programs Biomed..

[4]  Kemal Polat,et al.  Medical decision support system based on artificial immune recognition immune system (AIRS), fuzzy weighted pre-processing and feature selection , 2007, Expert Syst. Appl..

[5]  J. Ross Quinlan,et al.  Bagging, Boosting, and C4.5 , 1996, AAAI/IAAI, Vol. 1.

[6]  Jian Jhen Chen,et al.  K-means clustering versus validation measures: a data-distribution perspective. , 2009, IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society.

[7]  Aditya Khamparia,et al.  Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network , 2019, Circuits, Systems, and Signal Processing.

[8]  Eric Bauer,et al.  An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.

[9]  Lale Özbakir,et al.  Cost-sensitive meta-learning classifiers: MEPAR-miner and DIFACONN-miner , 2016, Knowl. Based Syst..

[10]  Ling Zhen,et al.  Novel Grouping Method-based support vector machine plus for structured data , 2016, Neurocomputing.

[11]  Kemal Polat,et al.  A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems , 2009, Expert Syst. Appl..

[12]  Kay Chen Tan,et al.  A hybrid evolutionary algorithm for attribute selection in data mining , 2009, Expert Syst. Appl..

[13]  Robert E. Schapire,et al.  The Boosting Approach to Machine Learning An Overview , 2003 .

[14]  W. Dich,et al.  Minimal distance neural methods , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[15]  Jamil Ahmad,et al.  Diagnosis of liver disease induced by hepatitis virus using Artificial Neural Networks , 2011, 2011 IEEE 14th International Multitopic Conference.

[16]  Massimo Melucci,et al.  Binary Classification Model Inspired from Quantum Detection Theory , 2018, ICTIR.

[17]  Wlodzislaw Duch,et al.  Optimization of logical rules derived by neural procedures , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[18]  Aditya Khamparia,et al.  Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network , 2019, IEEE Access.

[19]  Esin Dogantekin,et al.  A new intelligent hepatitis diagnosis system: PCA-LSSVM , 2011, Expert Syst. Appl..

[20]  M. Serdar Bascil,et al.  A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm , 2011, Journal of Medical Systems.

[21]  U. Rajendra Acharya,et al.  A novel machine learning approach for early detection of hepatocellular carcinoma patients , 2019, Cognitive Systems Research.

[22]  Massimo Melucci,et al.  Towards a Quantum-Inspired Framework for Binary Classification , 2018, CIKM.

[23]  Kemal Polat,et al.  Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation , 2006, Digit. Signal Process..

[24]  Aditya Khamparia,et al.  A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders , 2018, Neural Computing and Applications.

[25]  Novruz Allahverdi,et al.  Extracting rules for classification problems: AIS based approach , 2009, Expert Syst. Appl..

[26]  Ajith Abraham,et al.  A self adaptive harmony search based functional link higher order ANN for non-linear data classification , 2016, Neurocomputing.

[27]  Antonio J. Serrano,et al.  A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning , 2017, Expert Syst. Appl..

[28]  Jing Yuan,et al.  Assessment of liver fibrosis in chronic hepatitis B via multimodal data , 2017, Neurocomputing.

[29]  Esin Dogantekin,et al.  Automatic hepatitis diagnosis system based on Linear Discriminant Analysis and Adaptive Network based on Fuzzy Inference System , 2009, Expert Syst. Appl..

[30]  Jafar Habibi,et al.  Disease Diagnosis with a hybrid method SVR using NSGA-II , 2014, Neurocomputing.

[31]  Liu Jiang Hua,et al.  The Research of Emotional Cognition Model which Based On Bayesian Network within Intelligent Tutoring System , 2009, 2009 International Conference on Computational Intelligence and Natural Computing.

[32]  Yoichi Hayashi,et al.  Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease , 2018 .

[33]  Robert E. Schapire,et al.  Explaining AdaBoost , 2013, Empirical Inference.

[34]  N. Arunkumar,et al.  Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease , 2018, Cognitive Systems Research.

[35]  Arun Sharma,et al.  Diagnosis of Parkinson’s disease using modified grey wolf optimization , 2019, Cognitive Systems Research.

[36]  Chieh-Chen Wu,et al.  Prediction of fatty liver disease using machine learning algorithms , 2019, Comput. Methods Programs Biomed..

[37]  Douglas Steinley,et al.  K-means clustering: a half-century synthesis. , 2006, The British journal of mathematical and statistical psychology.

[38]  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..

[39]  Tom J. Moir Automatic variance control and variance estimation loops , 2001 .

[40]  Massimo Melucci,et al.  Binary Classifier Inspired by Quantum Theory , 2019, AAAI.

[41]  D. Opitz,et al.  Popular Ensemble Methods: An Empirical Study , 1999, J. Artif. Intell. Res..

[42]  Tulay Yildirim,et al.  Artificial neural networks for diagnosis of hepatitis disease , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[43]  Mohammed Erritali,et al.  A comparative study of decision tree ID3 and C4.5 , 2014 .

[44]  Panayiotis E. Pintelas,et al.  Combining Bagging and Boosting , 2007 .