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A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification

https://doi.org/10.3390/math11051081
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ima.22331openalex-snapshot
Glioma brain tumor detection and segmentation using weighting random forest classifier with optimized ant colony features
inferredcites →https://doi.org/10.1002/ima.22468openalex-snapshot
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm
inferredcites →https://doi.org/10.1002/spe.3025openalex-snapshot
A comprehensive survey on nature‐inspired algorithms and their applications in edge computing: Challenges and future directions
inferredcites →https://doi.org/10.1007/978-3-030-89912-7_65openalex-snapshot
Hybrid Firefly and Swarm Algorithms for Breast Cancer Mammograms Classification Based on Rough Set Theory Features Selection
inferredcites →https://doi.org/10.1007/978-3-319-02141-6_2openalex-snapshot
On the Randomized Firefly Algorithm
inferredcites →https://doi.org/10.1007/s00170-012-4013-7openalex-snapshot
Cuckoo search algorithm for the selection of optimal machining parameters in milling operations
inferredcites →https://doi.org/10.1007/s00357-018-9297-3openalex-snapshot
Binary Whale Optimization Algorithm and Binary Moth Flame Optimization with Clustering Algorithms for Clinical Breast Cancer Diagnoses
inferredcites →https://doi.org/10.1007/s00500-019-03879-7openalex-snapshot
Novel machine learning approach for classification of high-dimensional microarray data
inferredcites →https://doi.org/10.1007/s00500-021-05726-0openalex-snapshot
A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets
inferredcites →https://doi.org/10.1007/s00500-022-07032-9openalex-snapshot
Application of nature inspired soft computing techniques for gene selection: a novel frame work for classification of cancer
inferredcites →https://doi.org/10.1007/s00521-021-05997-6openalex-snapshot
A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis
inferredcites →https://doi.org/10.1007/s00521-022-07147-yopenalex-snapshot
Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets
inferredcites →https://doi.org/10.1007/s00521-022-07661-zopenalex-snapshot
Feature selection methods in microarray gene expression data: a systematic mapping study
inferredcites →https://doi.org/10.1007/s10044-014-0375-9openalex-snapshot
A GA-based feature selection and parameter optimization of an ANN in diagnosing breast cancer
inferredcites →https://doi.org/10.1007/s10103-018-2544-3openalex-snapshot
Raman spectral feature selection using ant colony optimization for breast cancer diagnosis
inferredcites →https://doi.org/10.1007/s10462-015-9428-8openalex-snapshot
Nature inspired feature selection meta-heuristics
inferredcites →https://doi.org/10.1007/s10916-014-0097-yopenalex-snapshot
An Intelligent System for Lung Cancer Diagnosis Using a New Genetic Algorithm Based Feature Selection Method
inferredcites →https://doi.org/10.1007/s10916-019-1372-8openalex-snapshot
Two-Stage Hybrid Gene Selection Using Mutual Information and Genetic Algorithm for Cancer Data Classification
inferredcites →https://doi.org/10.1007/s11042-021-11011-xopenalex-snapshot
Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review
inferredcites →https://doi.org/10.1007/s11042-022-13437-3openalex-snapshot
Computer vision model with novel cuckoo search based deep learning approach for classification of fish image
inferredcites →https://doi.org/10.1007/s11042-022-13532-5openalex-snapshot
Feature selection and computational optimization in high-dimensional microarray cancer datasets via InfoGain-modified bat algorithm
inferredcites →https://doi.org/10.1007/s11063-021-10700-wopenalex-snapshot
Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting
inferredcites →https://doi.org/10.1007/s11517-019-02043-5openalex-snapshot
Cancer data classification using binary bat optimization and extreme learning machine with a novel fitness function
inferredcites →https://doi.org/10.1007/s11517-022-02555-7openalex-snapshot
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
inferredcites →https://doi.org/10.1007/s12652-017-0655-5openalex-snapshot
An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier
inferredcites →https://doi.org/10.1007/s12652-020-01731-7openalex-snapshot
An efficient hybrid methodology for detection of cancer-causing gene using CSC for micro array data
inferredcites →https://doi.org/10.1007/s40745-018-0155-2openalex-snapshot
Artificial Neural Network Classification of High Dimensional Data with Novel Optimization Approach of Dimension Reduction
inferredcites →https://doi.org/10.1007/s40745-022-00424-6openalex-snapshot
Machine Learning Algorithms for Crime Prediction under Indian Penal Code
inferredcites →https://doi.org/10.1016/j.artmed.2022.102276openalex-snapshot
Breast cancer detection using artificial intelligence techniques: A systematic literature review
inferredcites →https://doi.org/10.1016/j.asoc.2017.09.038openalex-snapshot
Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification
inferredcites →https://doi.org/10.1016/j.asoc.2021.107221openalex-snapshot
Quantum squirrel inspired algorithm for gene selection in methylation and expression data of prostate cancer
inferredcites →https://doi.org/10.1016/j.biosystems.2020.104341openalex-snapshot
Artificial immune system features added to breast cancer clinical data for machine learning (ML) applications
inferredcites →https://doi.org/10.1016/j.chemolab.2018.12.003openalex-snapshot
A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics
inferredcites →https://doi.org/10.1016/j.compbiolchem.2015.03.001openalex-snapshot
Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification
inferredcites →https://doi.org/10.1016/j.compbiolchem.2017.10.009openalex-snapshot
A novel approach for dimension reduction of microarray
inferredcites →https://doi.org/10.1016/j.compbiomed.2018.10.034openalex-snapshot
Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification
inferredcites →https://doi.org/10.1016/j.compbiomed.2022.105221openalex-snapshot
Artificial Intelligence For Breast Cancer Detection: Trends & Directions.
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106958openalex-snapshot
An automated breast cancer diagnosis using feature selection and parameter optimization in ANN
inferredcites →https://doi.org/10.1016/j.compmedimag.2016.12.002openalex-snapshot
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier
inferredcites →https://doi.org/10.1016/j.eswa.2014.08.014openalex-snapshot
Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique
inferredcites →https://doi.org/10.1016/j.eswa.2015.06.024openalex-snapshot
A highly accurate firefly based algorithm for heart disease prediction
inferredcites →https://doi.org/10.1016/j.eswa.2021.115828openalex-snapshot
A wrapper based binary bat algorithm with greedy crossover for attribute selection
inferredcites →https://doi.org/10.1016/j.eswa.2022.118946openalex-snapshot
Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review
inferredcites →https://doi.org/10.1016/j.imu.2017.10.004openalex-snapshot
A hybrid gene selection algorithm for microarray cancer classification using genetic algorithm and learning automata
inferredcites →https://doi.org/10.1016/j.imu.2021.100572openalex-snapshot
Memory based cuckoo search algorithm for feature selection of gene expression dataset
inferredcites →https://doi.org/10.1016/j.iswa.2022.200173openalex-snapshot
Memetic micro-genetic algorithms for cancer data classification
inferredcites →https://doi.org/10.1016/j.jestch.2021.02.002openalex-snapshot
hybSVM: Bacterial colony optimization algorithm based SVM for malignant melanoma detection
inferredcites →https://doi.org/10.1016/j.jksuci.2020.08.006openalex-snapshot
Whale Harris hawks optimization based deep learning classifier for brain tumor detection using MRI images
inferredcites →https://doi.org/10.1016/j.knosys.2020.106323openalex-snapshot
Artificial Bee Colony algorithm based on Dominance (ABCD) for a hybrid gene selection method
inferredcites →https://doi.org/10.1016/j.knosys.2022.110122openalex-snapshot
A federated feature selection algorithm based on particle swarm optimization under privacy protection
inferredcites →https://doi.org/10.1016/j.matcom.2018.08.011openalex-snapshot
A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization
inferredcites →https://doi.org/10.1016/j.matcom.2022.11.023openalex-snapshot
Using particle swarm optimization and genetic algorithms for optimal control of non-linear fractional-order chaotic system of cancer cells
inferredcites →https://doi.org/10.1016/j.matpr.2020.04.896openalex-snapshot
Feature extraction and I-NB classification of CT images for early lung cancer detection
inferredcites →https://doi.org/10.1016/j.patcog.2007.02.007openalex-snapshot
Markov blanket-embedded genetic algorithm for gene selection
inferredcites →https://doi.org/10.1016/j.ygeno.2019.09.015openalex-snapshot
A TRIZ-inspired bat algorithm for gene selection in cancer classification
inferredcites →https://doi.org/10.1038/s41568-021-00399-1openalex-snapshot
Artificial intelligence in cancer research, diagnosis and therapy
inferredcites →https://doi.org/10.1038/s41598-019-45223-xopenalex-snapshot
A Hybrid Gene Selection Method Based on ReliefF and Ant Colony Optimization Algorithm for Tumor Classification
inferredcites →https://doi.org/10.1038/s41598-021-01018-7openalex-snapshot
An enhanced version of Harris Hawks Optimization by dimension learning-based hunting for Breast Cancer Detection
inferredcites →https://doi.org/10.1080/08839514.2014.904599openalex-snapshot
Cuckoo Search Algorithm for Optimization Problems—A Literature Review and its Applications
inferredcites →https://doi.org/10.1088/1742-6596/1192/1/012019openalex-snapshot
Classification of gene expressions of lung cancer and colon tumor using Adaptive-Network-Based Fuzzy Inference System (ANFIS) with Ant Colony Optimization (ACO) as the feature selection
inferredcites →https://doi.org/10.1088/1742-6596/1530/1/012012openalex-snapshot
Analysis of Automatic Detection of Tumour Lesions Images using Bee Colony Technique
inferredcites →https://doi.org/10.1089/cmb.2021.0410openalex-snapshot
Cuckoo Search-Based Optimization for Cancer Classification: A New Hybrid Approach
inferredcites →https://doi.org/10.1093/geront/gny123openalex-snapshot
Methodological Guidance for a Quality Review Article
inferredcites →https://doi.org/10.1109/access.2019.2942413openalex-snapshot
New Bio-Marker Gene Discovery Algorithms for Cancer Gene Expression Profile
inferredcites →https://doi.org/10.1109/access.2020.3035803openalex-snapshot
BAT Algorithm With fuzzy C-Ordered Means (BAFCOM) Clustering Segmentation and Enhanced Capsule Networks (ECN) for Brain Cancer MRI Images Classification
inferredcites →https://doi.org/10.1109/access.2021.3075942openalex-snapshot
A Hybrid Barnacles Mating Optimizer Algorithm With Support Vector Machines for Gene Selection of Microarray Cancer Classification
inferredcites →https://doi.org/10.1109/access.2022.3185226openalex-snapshot
A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data
inferredcites →https://doi.org/10.1109/iccke48569.2019.8964794openalex-snapshot
Breast Tumor Segmentation Using K-Means Clustering and Cuckoo Search Optimization
inferredcites →https://doi.org/10.1109/retis.2015.7232842openalex-snapshot
A new adaptive Cuckoo search algorithm
inferredcites →https://doi.org/10.1155/2021/9025470openalex-snapshot
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
inferredcites →https://doi.org/10.1155/2022/8544337openalex-snapshot
[Retracted] Detection of Pancreatic Cancer in CT Scan Images Using PSO SVM and Image Processing
inferredcites →https://doi.org/10.11591/ijeecs.v29.i2.pp942-953openalex-snapshot
Modified Harris Hawks optimizer for feature selection and support vector machine kernels
inferredcites →https://doi.org/10.1504/ijdmb.2015.072092openalex-snapshot
Cuckoo search optimisation for feature selection in cancer classification: a new approach
inferredcites →https://doi.org/10.1504/ijdmb.2017.084026openalex-snapshot
Artificial neural network classification of microarray data using new hybrid gene selection method
inferredcites →https://doi.org/10.1504/ijdmb.2017.088538openalex-snapshot
Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm
inferredcites →https://doi.org/10.1504/ijmic.2017.082941openalex-snapshot
Fuzzy firefly clustering for tumour and cancer analysis
inferredcites →https://doi.org/10.1515/ijnsns-2018-0181openalex-snapshot
Additional Extension of the Mathematical Model for BCG Immunotherapy of Bladder Cancer and Its Validation by Auxiliary Tool
inferredcites →https://doi.org/10.22034/apjcp.2017.18.5.1257openalex-snapshot
Modified Bat Algorithm for Feature Selection with the Wisconsin Diagnosis Breast Cancer (WDBC) Dataset
inferredcites →https://doi.org/10.33640/2405-609x.3197openalex-snapshot
Machine Learning-based Soft Computing Regression Analysis Approach for Crime Data Prediction
inferredcites →https://doi.org/10.33640/2405-609x.3229openalex-snapshot
A Machine Learning based Approach to Detect the Ethereum Fraud Transactions with Limited Attributes
inferredcites →https://doi.org/10.3390/app13020697openalex-snapshot
Modified Genetic Algorithm with Deep Learning for Fraud Transactions of Ethereum Smart Contract
inferredcites →https://doi.org/10.3390/cells11152372openalex-snapshot
Cell-Level Spatio-Temporal Model for a Bacillus Calmette–Guérin-Based Immunotherapy Treatment Protocol of Superficial Bladder Cancer
inferredcites →https://doi.org/10.3390/electronics11121919openalex-snapshot
Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
inferredcites →https://doi.org/10.3390/math10030464openalex-snapshot
A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem
inferredcites →https://doi.org/10.3390/pr11010077openalex-snapshot
Review of Latest Advances in Nature-Inspired Algorithms for Optimization of Activated Sludge Processes
inferredcites →https://doi.org/10.3390/pr7120953openalex-snapshot
Review of Anaerobic Digestion Modeling and Optimization Using Nature-Inspired Techniques
inferredcites →https://doi.org/10.3390/su15032204openalex-snapshot
Design of Metaheuristic Optimization Algorithms for Deep Learning Model for Secure IoT Environment
inferredcites →https://doi.org/10.3934/bioeng.2017.1.179openalex-snapshot
Dimension reduction methods for microarray data: a review
inferredcites →https://doi.org/10.7717/peerj-cs.390openalex-snapshot
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-strategy artificial protozoa optimizer for unconstrained functions, engineering problems, and feature selection
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inferred← citeshttps://doi.org/10.1007/s10916-025-02171-6openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math12071049openalex-snapshot
Ant Colony and Whale Optimization Algorithms Aided by Neural Networks for Optimum Skin Lesion Diagnosis: A Thorough Review
inferred← citeshttps://doi.org/10.3390/su151411138openalex-snapshot
Deep Learning Approach to Recyclable Products Classification: Towards Sustainable Waste Management
inferred← citeshttps://doi.org/10.3934/era.2024130openalex-snapshot
A differentially private distributed collaborative XGBoost method
inferred← citeshttps://doi.org/10.4018/979-8-3373-1399-3.ch002openalex-snapshot
Bio-Inspired Algorithms-Based Machine Learning and Deep Learning Models in Healthcare 6.0
inferred← citeshttps://doi.org/10.4018/979-8-3693-5276-2.ch012openalex-snapshot
Nature-Inspired Algorithms for Problem Solving
inferred← citeshttps://doi.org/10.5772/intechopen.1008207openalex-snapshot
Advancements in Machine Learning and Deep Learning for Breast Cancer Detection: A Systematic Review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.