Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …

MA Alsalem, AA Zaidan, BB Zaidan, M Hashim… - Journal of medical …, 2018 - Springer
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 …

A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open …

MA Alsalem, AA Zaidan, BB Zaidan, M Hashim… - Computer methods and …, 2018 - Elsevier
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 …

Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR

MA Alsalem, AA Zaidan, BB Zaidan, OS Albahri… - Journal of medical …, 2019 - Springer
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 …

MF-GARF: Hybridizing multiple filters and GA wrapper for feature selection of microarray cancer datasets

P Saqib, U Qamar, RA Khan… - 2020 22nd International …, 2020 - ieeexplore.ieee.org
DNA Microarray technology is a valuable advancement in medical field but it gives birth to
many challenges like curse of dimensionality, storage and computational requirements. In …

A study on the most common algorithms implemented for cancer gene search and classifications

MM Al-Rajab, J Lu - International Journal of Data Mining …, 2016 - inderscienceonline.com
Understanding gene expression is an important factor for cancer diagnosis. One target of
this understanding is implementing cancer gene search and classification methods …

A hybrid data mining model in analyzing corporate social responsibility

PF Pai, LC Chen, KP Lin - Neural Computing and Applications, 2016 - Springer
Over the past two decades, corporate social responsibility (CSR) has received worldwide
attention. Publication of CSR reports has become the trend for domestic and foreign …

Multiplicative distance: a method to alleviate distance instability for high-dimensional data

J Mansouri, M Khademi - Knowledge and Information Systems, 2015 - Springer
Recently, it has been shown that under a broad set of conditions, the commonly used
distance functions will become unstable in high-dimensional data space; ie, the distance to …

Hybrid Dimensionality Reduction Model for Classification of Ribonucleic Acid Sequencing Malaria Vector Dataset

MO Arowolo - 2021 - search.proquest.com
Malaria is a life-threatening disease caused by the plasmodium falciparum parasite and
spread to people from infected mosquitoes. Gene expression data analysis is an essential …