Breast Cancer-Risk Factors and Prediction Using Machine-Learning Algorithms and Data Source: A Review of Literature
Breast cancer (BC) is a major health concern worldwide. It is a complex and multifactorial
disease, and identifying its risk factors is crucial for early detection and effective treatment …
disease, and identifying its risk factors is crucial for early detection and effective treatment …
Firefly Algorithm Under-Sampling (FAUS) in Handling Imbalance Data on Drug Target Interaction Prediction
DN Purba, G Khoerunnisa… - 2024 12th International …, 2024 - ieeexplore.ieee.org
The drug and target interaction are essential in drug discovery to know how the drug
interacts with the target. The identification process needs laboratory experiment, which …
interacts with the target. The identification process needs laboratory experiment, which …
[PDF][PDF] A Classification Method of Imbalanced Big Data Based on Improved SMOTE and Stacked LSTM
W Xu - 2023 - bit.nkust.edu.tw
In recent years, classification algorithms have made great progress, but with the continuous
expansion of data sources, most of the data have different degrees of imbalance. Aiming at …
expansion of data sources, most of the data have different degrees of imbalance. Aiming at …
Optimization algorithm for omic data subspace clustering
M Ciortan, M Defrance - The 12th International Conference on …, 2021 - dl.acm.org
Subspace clustering identifies multiple feature subspaces embedded in a dataset together
with the underlying sample clusters. When applied to omic data, subspace clustering is a …
with the underlying sample clusters. When applied to omic data, subspace clustering is a …
Unbalanced Big Data Classification Algorithm Based on Whale Optimization and Deep Learning
SUN Er-hua, HU Yun-bing - Journal of Southwest China Normal …, 2021 - xbgjxt.swu.edu.cn
Aiming at the problems of low classification accuracy, which is easy to fall into local optimal
state in the current unbalanced data classification algorithm, an unbalanced big data …
state in the current unbalanced data classification algorithm, an unbalanced big data …