A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis
Authors
Keywords
-
Journal
TheScientificWorldJOURNAL
Volume 2022, Issue -, Pages 1-15
Publisher
Hindawi Limited
Online
2022-08-10
DOI
10.1155/2022/1056490
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An efficient binary chimp optimization algorithm for feature selection in biomedical data classification
- (2022) Elnaz Pashaei et al. NEURAL COMPUTING & APPLICATIONS
- Heart disease prediction using entropy based feature engineering and ensembling of machine learning classifiers
- (2022) Rajkamal Rajendran et al. EXPERT SYSTEMS WITH APPLICATIONS
- Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data
- (2021) Bulent Haznedar et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Machine learning-based EEG signals classification model for epileptic seizure detection
- (2021) Aayesha et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Comparison of machine learning strategies for infrared thermography of skin cancer
- (2021) Carolina Magalhaes et al. Biomedical Signal Processing and Control
- Feature selection and classification in breast cancer prediction using IoT and machine learning
- (2021) V.Nanda Gopal et al. MEASUREMENT
- A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
- (2021) Esther Omolara Abiodun et al. NEURAL COMPUTING & APPLICATIONS
- An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data
- (2021) Yao Wu et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Gene selection for microarray data classification via dual latent representation learning
- (2021) Xiao Zheng et al. NEUROCOMPUTING
- A new feature selection algorithm based on relevance, redundancy and complementarity
- (2020) Chao Li et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm
- (2020) Ge Zhang et al. Interdisciplinary Sciences-Computational Life Sciences
- Gene selection for cancer types classification using novel hybrid metaheuristics approach
- (2020) Alok Kumar Shukla et al. Swarm and Evolutionary Computation
- LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
- (2020) Liaqat Ali et al. NEURAL COMPUTING & APPLICATIONS
- G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays
- (2020) Mai Abdulla et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
- (2020) Ramon Gomes da Silva et al. CHAOS SOLITONS & FRACTALS
- Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network
- (2020) Santos Kumar Baliarsingh et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- SARA: A memetic algorithm for high-dimensional biomedical data
- (2020) Santos Kumar Baliarsingh et al. APPLIED SOFT COMPUTING
- A gene selection algorithm using simplified swarm optimization with multi-filter ensemble technique
- (2020) Chyh-Ming Lai et al. APPLIED SOFT COMPUTING
- Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.
- (2020) Ali Dabba et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel gene selection algorithm for cancer classification using microarray datasets
- (2019) Russul Alanni et al. BMC Medical Genomics
- A review of unsupervised feature selection methods
- (2019) Saúl Solorio-Fernández et al. ARTIFICIAL INTELLIGENCE REVIEW
- 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
- Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
- (2019) Md. Maniruzzaman et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- External clustering validity index based on chi-squared statistical test
- (2019) José María Luna-Romera et al. INFORMATION SCIENCES
- Two-Stage Hybrid Gene Selection Using Mutual Information and Genetic Algorithm for Cancer Data Classification
- (2019) M. Jansi Rani et al. JOURNAL OF MEDICAL SYSTEMS
- A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis
- (2019) MengXin Sun et al. PATTERN RECOGNITION
- A new hybrid wrapper TLBO and SA with SVM approach for gene expression data
- (2019) Alok Kumar Shukla et al. INFORMATION SCIENCES
- Comparing different supervised machine learning algorithms for disease prediction
- (2019) Shahadat Uddin et al. BMC Medical Informatics and Decision Making
- Feature selection for software effort estimation with localized neighborhood mutual information
- (2018) Qin Liu et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- A deep learning-based multi-model ensemble method for cancer prediction
- (2018) Yawen Xiao et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Configuring in-memory cluster computing using random forest
- (2018) Zhendong Bei et al. Future Generation Computer Systems-The International Journal of eScience
- A hybrid system with filter approach and multiple population genetic algorithm for feature selection in credit scoring
- (2018) Di Wang et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Tumor classification with MALDI-MSI data of tissue microarrays: A case study
- (2018) Nadine E. Mascini et al. METHODS
- Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain
- (2018) Seba Susan et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search for cancer classification
- (2017) V. Elyasigomari et al. JOURNAL OF BIOMEDICAL INFORMATICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started