Machine learning methods for cancer classification using gene expression data: A review

F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

Advances in machine learning processing of big data from disease diagnosis sensors

S Lu, J Yang, Y Gu, D He, H Wu, W Sun, D Xu, C Li… - ACS …, 2024 - ACS Publications
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …

En-MinWhale: An ensemble approach based on MRMR and Whale optimization for Cancer diagnosis

A Panigrahi, A Pati, B Sahu, MN Das, DSK Nayak… - IEEE …, 2023 - ieeexplore.ieee.org
According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for~
10 million fatalities at the end of 2020. The most common types of cancers include Lung …

Hybrid black widow optimization with iterated greedy algorithm for gene selection problems

M Alweshah, Y Aldabbas, B Abu-Salih, S Oqeil… - Heliyon, 2023 - cell.com
Gene Selection (GS) is a strategy method targeted at reducing redundancy, limited
expressiveness, and low informativeness in gene expression datasets obtained by DNA …

Classification techniques for arrhythmia patterns using convolutional neural networks and internet of things (IoT) devices

MO Agyeman, AF Guerrero, QT Vien - IEEE access, 2022 - ieeexplore.ieee.org
The rise of Telemedicine has revolutionized how patients are being treated, leading to
several advantages such as enhanced health analysis tools, accessible remote healthcare …

[HTML][HTML] Optimizing microarray cancer gene selection using swarm intelligence: recent developments and an exploratory study

J Isuwa, M Abdullahi, YS Ali, IH Hassan… - Egyptian Informatics …, 2023 - Elsevier
Microarray data represents a valuable tool for the identification of biomarkers associated
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …

RNN-CNN based cancer prediction model for gene expression

T Thakur, I Batra, A Malik, D Ghimire, SH Kim… - IEEE …, 2023 - ieeexplore.ieee.org
One of those illnesses that is most deadly to people is cancer. The only way to prevent any
harm to humanity is by its early discovery and treatment. Various types of tests are …

Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case

P Vizza, F Aracri, PH Guzzi, M Gaspari, P Veltri… - BMC Medical Informatics …, 2024 - Springer
Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data
produced by devices such as mass spectrometry requires platforms to identify and quantify …