An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease

An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease

The respiratory disease of coronavirus disease 2019 (COVID-19) has wreaked havoc on the economy of every nation by infecting and killing millions of people. This deadly disease has taken a toll on the life of the entire human race, and an exact cure for it is still not developed. Thus, the control a...

Full description

Saved in:

Bibliographic Details
Main Authors:	Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Series:	International Journal of Telemedicine and Applications
Online Access:	http://dx.doi.org/10.1155/2024/8188904
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Novel Ensemble Classifier Selection Method for Software Defect Prediction
by: Xin Dong, et al.
Published: (2025-01-01)

Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis
by: Monalisa Ghosh, et al.
Published: (2018-01-01)

Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID-19-Related Conspiracy Theories
by: Abdullah Al-Hashedi, et al.
Published: (2022-01-01)

Enhanced thyroid disease prediction using ensemble machine learning: a high-accuracy approach with feature selection and class balancing
by: Md. Rezaul Islam, et al.
Published: (2025-01-01)

Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection
by: Divya Khanna, et al.
Published: (2025-01-01)

Performance of Machine Learning Classifiers for Diabetes Prediction
by: Mijala Manandhar, et al.
Published: (2024-08-01)

An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer
by: Subrata Das, et al.
Published: (2025-01-01)

Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data
by: Avaz Naghipour, et al.
Published: (2024-12-01)

Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
by: Khalid Abualsaud, et al.
Published: (2015-01-01)

Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement
by: Mahboubeh Shamsi, et al.
Published: (2023-03-01)

Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks
by: P. Mamatha, et al.
Published: (2025-02-01)

Harnessing Machine Learning for Diabetes Prediction: Optimizing Classifiers to Tackle Canada's Growing Health Challenge
by: Mark Gerald Anastacio, et al.
Published: (2024-09-01)

Accurate identification of oxygen desaturation status in COPD by using classifier ensemble.
by: Yue-Fang Wu, et al.
Published: (2025-01-01)

Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure
by: Xiaodong Zeng, et al.
Published: (2014-01-01)

The application of machine learning approaches to classify and predict fertility rate in Ethiopia
by: Ewunate Assaye Kassaw, et al.
Published: (2025-01-01)

Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things
by: Junyu Ren, et al.
Published: (2023-03-01)

Urinary glucose detection with spiral shape hollow core photonic crystal fiber: Towards improved diabetes management
by: Md. Safiul Islam, et al.
Published: (2025-02-01)

Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification
by: Zeynep H. Kilimci, et al.
Published: (2018-01-01)

Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines
by: Prince Waqas Khan, et al.
Published: (2024-01-01)

Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble
by: Mona Ahamd Alghamdi, et al.
Published: (2024-06-01)

Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier
by: Emad Majeed Hameed, et al.
Published: (2024-09-01)

XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites
by: Salman Khan, et al.
Published: (2025-02-01)

Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction
by: Sandeep Gupta, et al.
Published: (2022-01-01)

A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique
by: Galib Muhammad Shahriar Himel, et al.
Published: (2025-02-01)

Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
by: Chuin-Hen Liew, et al.
Published: (2025-01-01)

Computational intelligence in the identification of Covid-19 patients by using KNN-SVM Classifier
by: shaymaa adnan
Published: (2024-12-01)

Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data
by: Ruchika Bhuria, et al.
Published: (2025-01-01)

Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization
by: Asrul Adam, et al.
Published: (2014-01-01)

Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling
by: Daphne N. Katsarou, et al.
Published: (2025-01-01)

Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images
by: Chhaya Gupta, et al.
Published: (2025-01-01)

Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images
by: N.A. Firsov, et al.
Published: (2023-10-01)

Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review
by: Md Mohshin Ali, et al.
Published: (2025-07-01)

Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements
by: Brady Metherall, et al.
Published: (2025-02-01)

A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction
by: SongTao Zhang, et al.
Published: (2025-01-01)

Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome Sequences
by: A. M. Mutawa
Published: (2025-01-01)

An Integrated Stacking Ensemble Model for Natural Gas Purchase Prediction Incorporating Multiple Features
by: Junjie Wang, et al.
Published: (2025-01-01)

Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach
by: Iqramul Haq, et al.
Published: (2022-01-01)

Machine Learning Classifiers Based Classification For IRIS Recognition
by: Bahzad Taha Chicho, et al.
Published: (2021-05-01)

Chest CT Scan Features to Predict COVID-19 Patients’ Outcome and Survival
by: Mohammad-Mehdi Mehrabi Nejad, et al.
Published: (2022-01-01)

Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data
by: Pinakshi Panda, et al.
Published: (2024-01-01)