An evolutionary artificial neural networks approach for breast cancer diagnosis

Authors:
Hussein A. Abbass
Affiliations:
School of Computer Science, University of New South Wales, Australian Defence Force Academy Campus, Northcott Drive, 2600 Canberra, ACT, Australia
Venue:
Artificial Intelligence in Medicine
Year:
2002

Citing 16
Cited 54

Evolving neural networks

Biological Cybernetics
Learning internal representations by error propagation

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Optimal brain damage

Advances in neural information processing systems 2
Original Contribution: General asymmetric neural networks and structure design by genetic algorithms

Neural Networks
Towards designing artificial neural networks by evolution

Applied Mathematics and Computation - Special issue on articficial life and robotics
Neural networks approach to early breast cancer detection

Journal of Systems Architecture: the EUROMICRO Journal - Special issue on artificial neural networks
Memetic algorithms: a short introduction

New ideas in optimization
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
C-Net: a method for generating non-deterministic and dynamic multivariate decision trees

Knowledge and Information Systems
Evolving the Topology and the Weights of Neural Networks Using a Dual Representation

Applied Intelligence
Training Product Unit Neural Networks with Genetic Algorithms

IEEE Expert: Intelligent Systems and Their Applications
Alternative Neural Network Training Methods

IEEE Expert: Intelligent Systems and Their Applications
Understanding neural networks via rule extraction

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Making use of population information in evolutionary artificialneural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new evolutionary system for evolving artificial neural networks

IEEE Transactions on Neural Networks
Genetic evolution of the topology and weight distribution of neural networks

IEEE Transactions on Neural Networks

Multi-objectivity for brain-behavior evolution of a physically-embodied organism

ICAL 2003 Proceedings of the eighth international conference on Artificial life
Automatic generation of controllers for embodied legged organisms: a Pareto evolutionary multi-objective approach

Evolutionary Computation - Special issue on magnetic algorithms
A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure
Cancer classification using ensemble of neural networks with multiple significant gene subsets

Applied Intelligence
Evolutionary ensemble of diverse artificial neural networks using speciation

Neurocomputing
Genetic programming for medical classification: a program simplification approach

Genetic Programming and Evolvable Machines
Interference-less neural network training

Neurocomputing
Evolutionary Bi-objective Learning with Lowest Complexity in Neural Networks: Empirical Comparisons

ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Neural network construction and training using grammatical evolution

Neurocomputing
Differential evolution for solving multi-mode resource-constrained project scheduling problems

Computers and Operations Research
Selective negative correlation learning approach to incremental learning

Neurocomputing
A fuzzy neural network with fuzzy impact grades

Neurocomputing
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity

HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Conserved self pattern recognition algorithm with novel detection strategy applied to breast cancer diagnosis

Journal of Artificial Evolution and Applications - Special issue on artificial evolution methods in the biological and biomedical sciences
Predicting breast cancer survivability: a comparison of three data mining methods

Artificial Intelligence in Medicine
Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods

Artificial Intelligence in Medicine
An Evolutionary Artificial Neural Network for Medical Pattern Classification

ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
A GAs based approach for mining breast cancer pattern

Expert Systems with Applications: An International Journal
Diagnosis of the macular diseases from pattern electroretinography signals using artificial neural networks

Expert Systems with Applications: An International Journal
Breast-Cancer identification using HMM-fuzzy approach

Computers in Biology and Medicine
Searching under multi-evolutionary pressures

EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Multiobjective evolutionary neural networks for time series forecasting

EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Differential Evolution for learning the classification method PROAFTN

Knowledge-Based Systems
Research frontier: memetic computation-past, present & future

IEEE Computational Intelligence Magazine
Memetic compact differential evolution for cartesian robot control

IEEE Computational Intelligence Magazine
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks

IEEE Transactions on Neural Networks
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology

Applied Soft Computing
Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis

Applied Soft Computing
Breast cancer diagnosis using WNN based on GA

LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization

Fuzzy Sets and Systems
Designing an artificial immune system-based machine learning classifier for medical diagnosis

ICICA'10 Proceedings of the First international conference on Information computing and applications
Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic

Applied Soft Computing
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus

Applied Soft Computing
Exploring comprehensible classification rules from trained neural networks integrated with a time-varying binary particle swarm optimizer

Engineering Applications of Artificial Intelligence
Memetic Elitist Pareto Differential Evolution algorithm based Radial Basis Function Networks for classification problems

Applied Soft Computing
Training neural networks using multiobjective particle swarm optimization

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
An intelligent model for the classification of children's occupational therapy problems

Expert Systems with Applications: An International Journal
Multi-objective hybrid evolutionary algorithms for radial basis function neural network design

Knowledge-Based Systems
Multi-objective model selection for support vector machines

EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Evolutionary multi-objective optimization for simultaneous generation of signal-type and symbol-type representations

EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Hybrid differential evolution for knapsack problem

ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Real-time recognition of patient intentions from sequences of pressure maps using artificial neural networks

Computers in Biology and Medicine
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems

Information Sciences: an International Journal
A multi-objective neural network based method for cover crop identification from remote sensed data

Expert Systems with Applications: An International Journal
MT-CGP: mixed type cartesian genetic programming

Proceedings of the 14th annual conference on Genetic and evolutionary computation
Breast cancer detection using cartesian genetic programming evolved artificial neural networks

Proceedings of the 14th annual conference on Genetic and evolutionary computation
A fast and adaptive automated disease diagnosis method with an innovative neural network model

Neural Networks
Differential Evolution for automatic rule extraction from medical databases

Applied Soft Computing
Memetic multiobjective particle swarm optimization-based radial basis function network for classification problems

Information Sciences: an International Journal
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks

Artificial Intelligence in Medicine
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators

Information Sciences: an International Journal
Fast learning neural networks using Cartesian genetic programming

Neurocomputing
A medical diagnosis support system based on automatic knowledge extraction from databases through differential evolution

International Journal of Data Mining and Bioinformatics
Review: Knowledge discovery in medicine: Current issue and future trend

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper presents an evolutionary artificial neural network (EANN) approach based on the pareto-differential evolution (PDE) algorithm augmented with local search for the prediction of breast cancer. The approach is named memetic pareto artificial neural network (MPANN). Artificial neural networks (ANNs) could be used to improve the work of medical practitioners in the diagnosis of breast cancer. Their abilities to approximate nonlinear functions and capture complex relationships in the data are instrumental abilities which could support the medical domain. We compare our results against an evolutionary programming approach and standard backpropagation (BP), and we show experimentally that MPANN has better generalization and much lower computational cost.