NDLI: Input and data selection applied to heart disease diagnosis

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2015 International Joint Conference on Neural Networks (IJCNN)

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Volume 5 - 2005

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2005 IEEE International Joint Conference on Neural Networks

Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005

IJCNN 2005: Session Grid

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Table of contents

Orientated texture segmentation for detecting defects

Modification of correlation kernels in SVM, KPCA and KCCA in texture classification

Neural network-based shape recognition using generalized differential evolution training algorithm

The effect of normal adult aging on standard PCA face recognition accuracy rates

Face recognition method independent of rotation and size variations

Combined subspace method using global and local features for face recognition

Low order modeling for multiple moving sound synthesis using head-related transfer functions' principal basis vectors

Individualized HRTFs from few measurements: a statistical learning approach

Framewise phoneme classification with bidirectional LSTM networks

Discriminative training of hidden Markov models by multiobjective optimization for visual speech recognition

Harmonic envelope prediction for realistic speech synthesis using kernel interpolation

A soft Bayes perceptron

Chaos and speech rhythm

Exploration of rank order coding with spiking neural networks for speech recognition

A comparative study of neural network to artificial noses

Optimization of a learning algorithm for tactile pattern generation

A combinative function approximation model and its applications to electronic noses

A novel hybrid learning scheme for pattern recognition

Convergence of coherent components of neural networks by positive correlation learning

Learning of an XOR problem in the presence of noise and redundancy

A multiple BAM for hetero-association and multisensory integration modelling

Effect of curriculum on the consolidation of neural network task knowledge

Creation of long-term mental representations using the dimension of fractal dendrites

Neurobiological data sustaining opponent processing operations on self organizing networks as tools for the modeling of hippocampal dynamics

Neural network approaches to personal change in psychotherapy

Role of presynaptic reuptake on dopamine modulation of cortico-striatal activity in TD learning

Two state transitions mediated by spontaneous and/or intensive stimulus on an integrate-and-fire neural network model

Learning with single integrate-and-fire neuron

Optimizing neural model templates using covariance matrix adaptation and fourier analysis

Fast constructive-covering approach for neural networks

Ensembles of membrane proteins as statistical mixed-signal computers

Towards the modeling of dissociated cortical tissue in the liquid state machine framework

The bifurcating neuron network 3

Spiking neural network training using evolutionary algorithms

Increased swimming control with evolved lamprey CPG controllers

Modified time-based multilayer perceptron for sensor networks and image processing applications

On-line Bayesian change detection scheme for unknown nonlinear systems via sequential Monte Carlo

Independent component analysis applications in physics

Embedded fastICA algorithm applied to the sensor noise extraction problem of foundation fieldbus network

Design of neural predictors using tools of chaos theory and Bayesian learning

Harmonic detection using wavelet transform

A recurrent neural network for sound-source motion tracking and prediction

Artificial neural networks associated to calorimetry to preview polymer composition of high solid content emulsion copolymerizations

Supply air temperature control of AHU with a cascade control strategy and a SPSA based neural controller

Design and stabilization of sampled-data neural-network-based control systems

Real-time control of variable air volume system using a SPSA based neural controller

Discrete-time systems neuro-Riccati equation solution

Predictive control based on feedforward neural network for strong nonlinear system

Design and experimental evaluation of a 3-mass speed control system with a hybrid structure of sliding mode controller and CMAC

Total sliding-mode-based genetic algorithm for linear piezoelectric ceramic motor drive

Adaptive Tanaka-Sugeno fuzzy cerebellar model articulation controller for output tracking control

Robust output tracking CMAC control: the T-S fuzzy model-based approach

Prototype robotic arm assisted by smart CMOS vision chips

A framework for the verification of air quality forecasting models using self-organizing feature maps

Bayesian neural networks for nonlinear multivariate manufacturing process monitoring

Feature selection and condition monitoring of gearbox using SOM

Engine data classification with simultaneous recurrent network using a hybrid PSO-EA algorithm

An automatic method to detect missing components in manufactured products

Cosmetic defect classification found in ophthalmic lenses using artificial neural networks

A neuro-fuzzy based sensor and actuator fault estimation scheme for unknown nonlinear systems

Aircraft cabin noise minimization via neural network inverse model

Dynamic neural network-based estimator for fault diagnosis in reaction wheel actuator of satellite attitude control system

Modeling of spiral inductors using artificial neural network

Sparse channel estimation with regularization method using convolution inequality for entropy

A neural phase rotator for PAPR reduction of PCC-OFDM signal

Further results on the EKF-CRTRL equalizer for fast fading and frequency selective channels

Hybrid neural-phenomenological sub-models and its application to Earth-space path signal attenuation prediction

Application of neural networks to 3G power amplifier modeling

Bayesian ANN classifier for ECG arrhythmia diagnostic system: a comparison study

Input and data selection applied to heart disease diagnosis

Reliable determination of sleep versus wake from heart rate variability using neural networks

Neural network based detection of fetal heart rate patterns

Exploratory data analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series

A neural network-based prediction model of AR inhibitory activity from a sparse set of compounds

Multi-class support vector machines for modeling HIV/AIDS treatment adherence using patient data

Neural network-based approach for the classification of wireless-capsule endoscopic images

The use of clustering to analyze symptom-based case definitions for acute gastrointestinal illness

A SVM approach for detection of hemorrhages in background diabetic retinopathy

Dynamic feature fusion in the self organising tree map-applied to the segmentation of biofilm images

Independent component analysis and high-order statistics for automatic artifact rejection

A neural supergranph matching architecture

Comparison of TDNN training algorithms in brain machine interfaces

An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis

Computational intelligence techniques for acute leukemia gene expression data classification

Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data

SVMs applied to objective aesthetic evaluation conservative breast cancer treatment

Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network

Feasibility of multi-layered perceptron network in discriminating breast magnetic resonance imaging lesions

Automatic recognition of the blood cells of myelogenous leukemia using SVM

Neural network classification of EEG signals using time-frequency representation

ICA and a gauge of filter for the automatic filtering of an EEG signal

On the use of clustering and local singular spectrum analysis to remove ocular artifacts from electroencephalograms

A fully approach for key variables identification of EMG evaluation signal

Extraction of event-related potentials from EEG signals using ICA with reference

PCA and ICA for the extraction of EEG components in cerebral death assessment

Vector quantized radial basis function neural network with embedded multiple local linear models for financial prediction

Application of multi-branch neural networks to stock market prediction

Data preprocessing for stock market forecasting using random subspace classifier network

Predicting customer behavior via calling links

A novel image retrieval system based on BP neural network

Speaker identification using speech and lip features

Comparison of a SOM based sequence analysis system and naive Bayesian classifier for spam filtering

Neural networks following a binary approach applied to the integer prime-factorization problem

Artificial intelligence for conflict management

Fingerprint recognition using modular neural networks and fuzzy integrals for response integration

Chaotic associative memory and private v-mails

Using domain knowledge to constrain structure learning in a Bayesian bioagent detector

Power system reduced model by artificial neural networks

FPGA realization of power quality disturbance detection: an approach with wavelet, ANN and fuzzy logic

Short term load forecasting for Iran National Power System and its regions using multi layer perceptron and fuzzy inference systems

Artificial neural networks for temporal processing applied to prediction of electric energy in small hydroelectric power stations

Streamflow forecasting using neural networks and fuzzy clustering techniques

Neural network modelling of the 20-year flood event for catchments across the UK

Modelling harbour sedimentation using ANN and M5 model trees

Classification of infrasound events using radial basis function neural networks

Neural network river discharge forecasters: an empirical investigation of hidden unit processing functions based on two different catchments

Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models

A comparative study of artificial neural network techniques for river stage forecasting

Volume 3 - 2005

Volume 2 - 2005

Volume 1 - 2005

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Proceedings of the International Joint Conference on Neural Networks, 2003.

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

IJCNN-91-Seattle International Joint Conference on Neural Networks

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

Input and data selection applied to heart disease diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Pedreira, C.E. Macrini, L. Costa, E.S.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Catholic Univ., Rio de Janeiro, Brazil (Pedreira, C.E.; Macrini, L.)
Abstract	In this paper we present an application of data and input selection to a heart disease diagnosis problem. We approach the problem by using a modified LVQ scheme that selects a subset of the training data points to update the prototypes. The main model goal is to identify patients with relevant coronary vessels obstruction. The selected subset provides an interesting interpretation. We associate this methodology with a weighted norm, instead of the Euclidean, in order to establish different levels of importance for the input attributes. Again, interesting interpretation arises concerning the relevance of the input attributes.
Starting Page	2389
Ending Page	2393
File Size	800930
Page Count	5
File Format	PDF
ISBN	0780390482
DOI	10.1109/IJCNN.2005.1556276
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-31
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cardiac disease Prototypes Vector quantization Training data Working environment noise Cost function Hospitals Cardiology Pattern classification Neural networks
Content Type	Text
Resource Type	Article

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