Applications and techniques of machine learning in cancer classification: A systematic review

A Yaqoob, R Musheer Aziz, NK verma - Human-Centric Intelligent Systems, 2023 - Springer
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …

Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data—In Pursuit of Precision

K MS, H Rajaguru, AR Nair - Bioengineering, 2024 - mdpi.com
Microarray gene expression analysis is a powerful technique used in cancer classification
and research to identify and understand gene expression patterns that can differentiate …

Text-mining-based feature selection for anticancer drug response prediction

G Wu, A Zaker, A Ebrahimi, S Tripathi… - Bioinformatics …, 2024 - academic.oup.com
Motivation Predicting anticancer treatment response from baseline genomic data is a critical
obstacle in personalized medicine. Machine learning methods are commonly used for …

Feature Selection Methods for Effective Diagnosis of Rotavirus Infection: A Comparative Evaluation

V Chau, DTT Ngoc, PT My, D Pham… - … on Knowledge and …, 2023 - ieeexplore.ieee.org
Rotavirus causes severe diarrhea in children worldwide. Correct diagnosis is essential to
manage the condition, especially in resource-poor areas effectively. This study analyses …

COVID-19Disease Diagnosis using Artificial Intelligence based on Gene Expression: A Review

QK Kadhim - Sumer journal for Pure Science, 2023 - journals.sujps.com
Clinical symptoms of COVID-19, which can cause pulmonary inflammation, are varied. The
use of microarray technology to examine variations in gene expression in particular …