Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review

S Osama, H Shaban, AA Ali - Expert Systems with Applications, 2023 - Elsevier
Disease diagnosis and prediction methods in biotechnology and medicine have significantly
advanced over time. Consequently, analyzing raw gene expression is crucial for identifying …

Predicting colorectal cancer using machine and deep learning algorithms: Challenges and opportunities

D Alboaneen, R Alqarni, S Alqahtani… - Big Data and Cognitive …, 2023 - mdpi.com
One of the three most serious and deadly cancers in the world is colorectal cancer. The most
crucial stage, like with any cancer, is early diagnosis. In the medical industry, artificial …

Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification

X Deng, M Li, S Deng, L Wang - Medical & Biological Engineering & …, 2022 - Springer
Microarray gene expression data are often accompanied by a large number of genes and a
small number of samples. However, only a few of these genes are relevant to cancer …

A deep learning approach to predict chronic kidney disease in human

F Arafat, T Khan, AD Bapon, MI Khan… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Renal turmoil otherwise called Chronic Kidney Disease (CKD) has been a very important
field of study for a long while now. Diagnosis of CKD requires a lot of tests and it's not a …

A New Multi-objective Hybrid Gene Selection Algorithm for Tumor Classification Based on Microarray Gene Expression Data

M Li, B Wu, S Deng, M Lou - International Journal of Computational …, 2023 - World Scientific
Tumor classification based on microarray gene expression data is easy to fall into overfitting
because such data are composed of many irrelevant, redundant, and noisy genes …

Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review

NG Ramadhan, W Maharani, AA Gozali - IEEE Access, 2024 - ieeexplore.ieee.org
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …

De novo drug property prediction using graph convolutional neural networks

FS Shishir, KM Hasib, S Sakib… - 2021 IEEE 9th …, 2021 - ieeexplore.ieee.org
Drug property prediction poses a complex task in the healthcare domain, because the drug-
like molecules greatly vary in chemical structures. Inhibitory concentration (IC 50) prediction …

Diabedetect: a novel decision tree-based approach for early prognosis of diabetes

M Usama Islam, MM Hossain, I Hossain… - … : Proceedings of ICICC …, 2022 - Springer
Diabetes is one of the most serious threats for human throughout the world and currently this
is owne of the most threatening cases in low and low-middle-income countries. However …

Advanced plant disease detection by using tensorflow

MR Foysal, NN Moon, MA Mariam… - … Conference on Smart …, 2021 - ieeexplore.ieee.org
This research work entitled “Plant Disease Detection by using TensorFlow” which focus on
farmer's basic problem. Bangladesh is an agricultural country. Every year farmers of …

Diagnosis of gastric cancer based on hybrid genes selection approach

J Liu, Z Cheng, J Zhang, K Liu, M Liu - Biotechnology and Genetic …, 2024 - Taylor & Francis
Gastric cancer (GC) is the third leading cause of cancer death worldwide. In the field of
medicine, machine learning is widely used in genetic data mining and the construction of …