Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open …
Context Acute leukaemia diagnosis is a field requiring automated solutions, tools and
methods and the ability to facilitate early detection and even prediction. Many studies have …
methods and the ability to facilitate early detection and even prediction. Many studies have …
Gene expression data classification using support vector machine and mutual information-based gene selection
DNA microarray technology can monitor the expression levels of thousands of genes
simultaneously during important biological processes and across collections of related …
simultaneously during important biological processes and across collections of related …
Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique
These days, microarray gene expression data are playing an essential role in cancer
classifications. However, due to the availability of small number of effective samples …
classifications. However, due to the availability of small number of effective samples …
A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease
S Muthukaruppan, MJ Er - Expert Systems with Applications, 2012 - Elsevier
This paper presents a particle swarm optimization (PSO)-based fuzzy expert system for the
diagnosis of coronary artery disease (CAD). The designed system is based on the …
diagnosis of coronary artery disease (CAD). The designed system is based on the …
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
Objective A colon microarray data is a repository of thousands of gene expressions with
different strengths for each cancer cell. It is necessary to detect which genes are responsible …
different strengths for each cancer cell. It is necessary to detect which genes are responsible …
Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR
This paper aims to assist the administration departments of medical organisations in making
the right decision on selecting a suitable multiclass classification model for acute leukaemia …
the right decision on selecting a suitable multiclass classification model for acute leukaemia …
[HTML][HTML] A hybrid gene selection algorithm for microarray cancer classification using genetic algorithm and learning automata
H Motieghader, A Najafi, B Sadeghi… - Informatics in Medicine …, 2017 - Elsevier
Cancer classification is an important problem in cancer diagnosis and treatment. One of the
most effective methods in cancer classification is gene selection. However, selecting a …
most effective methods in cancer classification is gene selection. However, selecting a …
Applying particle swarm optimization-based decision tree classifier for cancer classification on gene expression data
KH Chen, KJ Wang, KM Wang, MA Angelia - Applied Soft Computing, 2014 - Elsevier
Background The application of microarray data for cancer classification is important.
Researchers have tried to analyze gene expression data using various computational …
Researchers have tried to analyze gene expression data using various computational …
[HTML][HTML] Gene selection using hybrid binary black hole algorithm and modified binary particle swarm optimization
In cancer classification, gene selection is an important data preprocessing technique, but it
is a difficult task due to the large search space. Accordingly, the objective of this study is to …
is a difficult task due to the large search space. Accordingly, the objective of this study is to …