Pages that link to "Item:Q876679"
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The following pages link to Detection of ECG arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine (Q876679):
Displaying 16 items.
- Comparison of support-vector machine and sparse representation using a modified rule-based method for automated myocardial ischemia detection (Q306029) (← links)
- An intelligent system approach for asthma prediction in symptomatic preschool children (Q382549) (← links)
- A novel automatic detection system for ECG arrhythmias using maximum margin clustering with immune evolutionary algorithm (Q382600) (← links)
- Multi-class support vector machine optimized by inter-cluster distance and self-adaptive differential evolution (Q426516) (← links)
- A patient adaptable ECG beat classifier based on neural networks (Q1030240) (← links)
- PMSVM: an optimized support vector machine classification algorithm based on PCA and multilevel grid search methods (Q1665360) (← links)
- Feature extraction through parallel probabilistic principal component analysis for heart disease diagnosis (Q2147684) (← links)
- Determination of fetal state from cardiotocogram using LS-SVM with particle swarm optimization and binary decision tree (Q2262215) (← links)
- An expert system based on Fisher score and LS-SVM for cardiac arrhythmia diagnosis (Q2262337) (← links)
- A two-stage mechanism for registration and classification of ECG using Gaussian mixture model (Q2270771) (← links)
- Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system (Q2383640) (← links)
- Multiclass maximum margin clustering via immune evolutionary algorithm for automatic diagnosis of electrocardiogram arrhythmias (Q2396485) (← links)
- Ischemic heart disease detection using selected machine learning methods (Q2855789) (← links)
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- Dimension reduction and classification in ECG signal interpretation using FA and PCS: a comparison (Q5742188) (← links)