Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis
Authors
Keywords
Medical diagnosis, Feature selection, Greedy crossover, Optimization, Coronavirus herd immunity optimizer
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 235, Issue -, Pages 107629
Publisher
Elsevier BV
Online
2021-10-29
DOI
10.1016/j.knosys.2021.107629
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)
- (2021) Arunodaya Raj Mishra et al. APPLIED SOFT COMPUTING
- Improved water cycle algorithm with probabilistic neural network to solve classification problems
- (2020) Mohammed Alweshah et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Coronavirus disinfection in histopathology
- (2020) Anthony F. Henwood JOURNAL OF HISTOTECHNOLOGY
- Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine
- (2020) Márcio Dias de Lima et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- An Enhancement in Cancer Classification Accuracy Using a Two-Step Feature Selection Method Based on Artificial Neural Networks with 15 Neurons
- (2020) Md Akizur Rahman et al. Symmetry-Basel
- A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification
- (2020) Osman Gokalp et al. EXPERT SYSTEMS WITH APPLICATIONS
- Dynamics of Population Immunity Due to the Herd Effect in the COVID-19 Pandemic
- (2020) Vicente Clemente-Suárez et al. Vaccines
- A crossover operator for improving the efficiency of permutation-based genetic algorithms
- (2020) Behrooz Koohestani EXPERT SYSTEMS WITH APPLICATIONS
- A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
- (2020) Hadeel Alazzam et al. EXPERT SYSTEMS WITH APPLICATIONS
- The monarch butterfly optimization algorithm for solving feature selection problems
- (2020) Mohammed Alweshah et al. NEURAL COMPUTING & APPLICATIONS
- A hybrid mine blast algorithm for feature selection problems
- (2020) Mohammed Alweshah et al. SOFT COMPUTING
- A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier
- (2020) Warda M. Shaban et al. KNOWLEDGE-BASED SYSTEMS
- Elephant Herding Optimization: Variants, Hybrids, and Applications
- (2020) Juan Li et al. Mathematics
- A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
- (2020) Seçkin Karasu et al. ENERGY
- Classifier ensemble methods in feature selection
- (2020) Hakan Ezgi Kiziloz NEUROCOMPUTING
- A review of feature selection techniques in sentiment analysis
- (2019) Siti Rohaidah Ahmad et al. Intelligent Data Analysis
- Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems
- (2019) Ahmed M. Anter et al. SOFT COMPUTING
- Binary spotted hyena optimizer and its application to feature selection
- (2019) Vijay Kumar et al. Journal of Ambient Intelligence and Humanized Computing
- Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study
- (2019) Anurag Kumar Verma et al. APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
- Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method
- (2019) E. Sivasankar et al. SOFT COMPUTING
- A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
- (2019) Fateme Moslehi et al. Journal of Ambient Intelligence and Humanized Computing
- Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
- (2019) Mingjing Wang et al. APPLIED SOFT COMPUTING
- A survey on new generation metaheuristic algorithms
- (2019) Tansel Dokeroglu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models
- (2019) M. Toğaçar et al. IRBM
- Herd Immunity
- (2019) David R. Smith VETERINARY CLINICS OF NORTH AMERICA-FOOD ANIMAL PRACTICE
- A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery
- (2019) Essam H. Houssein et al. COMPUTERS & CHEMICAL ENGINEERING
- On initial population generation in feature subset selection
- (2019) Ayça Deniz et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hybrid approach of improved binary particle swarm optimization and shuffled frog leaping for feature selection
- (2018) S.P. Rajamohana et al. COMPUTERS & ELECTRICAL ENGINEERING
- A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks
- (2018) Abdulaziz Alarifi et al. JOURNAL OF SUPERCOMPUTING
- Construction biogeography-based optimization algorithm for solving classification problems
- (2018) Mohammed Alweshah NEURAL COMPUTING & APPLICATIONS
- Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
- (2018) Gehad Ismail Sayed et al. APPLIED INTELLIGENCE
- Swarm Intelligence Algorithms for Feature Selection: A Review
- (2018) Lucija Brezočnik et al. Applied Sciences-Basel
- Efficient feature selection method using real-valued grasshopper optimization algorithm
- (2018) Arezoo Zakeri et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
- (2017) Majdi M. Mafarja et al. NEUROCOMPUTING
- Hybridizing firefly algorithms with a probabilistic neural network for solving classification problems
- (2015) Mohammed Alweshah et al. APPLIED SOFT COMPUTING
- A hybrid metaheuristic method for the Maximum Diversity Problem
- (2013) Qinghua Wu et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Feature selection for medical diagnosis : Evaluation for cardiovascular diseases
- (2013) Swati Shilaskar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Natural immune boosting in pertussis dynamics and the potential for long-term vaccine failure
- (2011) J. S. Lavine et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started