[PDF][PDF] A feature selection-based ensemble method for arrhythmia classification

E Namsrai, T Munkhdalai, M Li, JH Shin… - Journal of Information …, 2013 - koreascience.kr
In this paper, a novel method is proposed to build an ensemble of classifiers by using a
feature selection schema. The feature selection schema identifies the best feature sets that …

[PDF][PDF] Employee Attrition Prediction using Nested Ensemble Learning Techniques

MS Alshiddy, BN Aljaber - International Journal of …, 2023 - pdfs.semanticscholar.org
In many industries, including the IT industry, rising employee attrition is a major concern.
Hiring a candidate for an unsuitable job because of issues with the employment process can …

Highlighting the current issues with pride suggestions for improving the performance of real time cardiac health monitoring

MEA Bashir, DG Lee, M Akasha, GM Yi, E Cha… - … Technology in Bio-and …, 2010 - Springer
Electrocardiogram (ECG) signal utilized by Clinicians to extract very useful information about
the functional status of the heart. Of particular interest systems designed for monitoring …

Trigger learning and ECG parameter customization for remote cardiac clinical care information system

MEA Bashir, DG Lee, M Li, JW Bae… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Coronary heart disease is being identified as the largest single cause of death along the
world. The aim of a cardiac clinical information system is to achieve the best possible …

Fuzzy unordered rule induction for evaluating cardiac arrhythmia

VSR Kumari, PR Kumar - Biomedical Engineering Letters, 2013 - Springer
Heart rate variations reveal current or impending heart/cardiac diseases. A non-stationary
signal—heart rate—is measured using Electrocardiogram (ECG) to assess cardiac …

Real-time automated cardiac health monitoring by combination of active learning and adaptive feature selection

MEA Bashir, HS Shon, DG Lee, H Kim… - KSII Transactions on …, 2013 - koreascience.kr
Electrocardiograms (ECGs) are widely used by clinicians to identify the functional status of
the heart. Thus, there is considerable interest in automated systems for real-time monitoring …

Superiority real-time cardiac arrhythmias detection using trigger learning method

MEA Bashir, KS Ryu, SH Park, DG Lee, JW Bae… - … Technology in Bio-and …, 2011 - Springer
The Electrocardiogram (ECG) signal uses by Clinicians to extract very useful information
about the functional status of the heart, accurate and computationally efficient means of …

[PDF][PDF] Performance evaluation of boosting techniques for cardiac arrhythmia prediction

VSR Kumari, PR Kumar - International Journal of Computer …, 2012 - academia.edu
Cardiac Arrhythmia is assessed using Electrocardiogram (ECG). Different types of
arrhythmia are determined by accurate detection of beats leading to diagnosis of heart …

[PDF][PDF] Fine-tuning ECG parameters technique for precise abnormalities detection

M Bashir, G Min Yi, M Piao, K Ho Ryu - 2011 - researchgate.net
The number and the types of ECG parameters necessity to detect different arrhythmias with
high quality are counting a massive number of challenges in relation to computational …

[PDF][PDF] New Feature Selection Model-Based Ensemble Rule Classifiers Method For Dataset Classification

MA bin Basir, F binti Ahmad - 2017 - academia.edu
Feature selection and classification task are an essential process in dealing with large data
sets that comprise numerous number of input attributes. There are many search methods …