A systematic literature review on identifying patterns using unsupervised clustering algorithms: A data mining perspective
M Chaudhry, I Shafi, M Mahnoor, DLR Vargas… - Symmetry, 2023 - mdpi.com
Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
Leukemia segmentation and classification: A comprehensive survey
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
Pneumonia classification from X-ray images with inception-V3 and convolutional neural network
Pneumonia is one of the leading causes of death in both infants and elderly people, with
approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending …
approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending …
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer's disease
F Yi, H Yang, D Chen, Y Qin, H Han, J Cui… - BMC medical informatics …, 2023 - Springer
Background Due to the class imbalance issue faced when Alzheimer's disease (AD)
develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical …
develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study
W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …
countries that have been affected by the pandemic. As a result, many governments have …
Electroencephalogram signals for detecting confused students in online education platforms with probability-based features
Online education has emerged as an important educational medium during the COVID-19
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …
Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network
Blood cancer has emerged as a growing concern over the past decade, necessitating early
diagnosis for timely and effective treatment. The present diagnostic method, which involves …
diagnosis for timely and effective treatment. The present diagnostic method, which involves …
Predicting genetic disorder and types of disorder using chain classifier approach
Genetic disorders are the result of mutation in the deoxyribonucleic acid (DNA) sequence
which can be developed or inherited from parents. Such mutations may lead to fatal …
which can be developed or inherited from parents. Such mutations may lead to fatal …
Hybrid ant lion mutated ant colony optimizer technique with particle swarm optimization for leukemia prediction using microarray gene data
Leukemia refers to a type of blood malignancy that develops due to certain hematological
disorders. Identifying leukemia at its earlier stages through clinical operations are highly …
disorders. Identifying leukemia at its earlier stages through clinical operations are highly …