Evolution of breast cancer recurrence risk prediction: a systematic review of statistical and machine learning–based models

H El Haji, A Souadka, BN Patel, N Sbihi… - JCO clinical cancer …, 2023 - ascopubs.org
PURPOSE Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast
cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk …

[HTML][HTML] Cyberbullying detection framework for short and imbalanced Arabic datasets

M Alzaqebah, GM Jaradat, D Nassan… - Journal of King Saud …, 2023 - Elsevier
Cyberbullying detection has attracted many researchers to detect negative comments
deployed on communication platforms as cyberbullying can take many forms: verbal …

[HTML][HTML] Cost-sensitive KNN algorithm for cancer prediction based on entropy analysis

C Song, X Li - Entropy, 2022 - mdpi.com
Early diagnosis of cancer is beneficial in the formulation of the best treatment plan; it can
improve the survival rate and the quality of patient life. However, imaging detection and …

Ship collision avoidance based on brain storm optimization near offshore wind farm

H Xue, K Qian - Ocean Engineering, 2023 - Elsevier
An intelligent ship collision avoidance mechanism based on improved swarm intelligence is
presented. To expedite optimal decision-making system to prevent vessel collision, an …

Estimating brazilian tensile strength of granite rocks using metaheuristic algorithms-based self-organizing neural networks

Z He, SB Wilson, M Monjezi, TT Tran - Rock Mechanics and Rock …, 2024 - Springer
This article explores the use of different metaheuristic optimization algorithms for training a
self-organizing neural network (SONN) model to estimate Brazilian tensile strength (BTS) in …

Classification of histopathological images from breast cancer patients using deep learning: a comparative analysis

LA Thalakottor, RD Shirwaikar… - Critical Reviews™ in …, 2023 - dl.begellhouse.com
Cancer, a leading cause of mortality, is distinguished by the multi-stage conversion of
healthy cells into cancer cells. Discovery of the disease early can significantly enhance the …

Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm

P Saranya, P Asha - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Cancer is typically a disease that is instigated when cells partition uncontrollably, thereby
spread to surrounding tissues. Among different kinds of cancer, breast cancer, cervical and …

[PDF][PDF] Cuckoo algorithm with great deluge local-search for feature selection problems

MK Alsmadi, M Alzaqebah, S Jawarneh… - Int. J. Electr. Comput …, 2022 - academia.edu
Feature selection problem is concerned with searching in a dataset for a set of features
aiming to reduce the training time and enhance the accuracy of a classification method …

[PDF][PDF] Improved whale optimization with local-search method for feature selection

M Alzaqebah, MK Alsmadi, S Jawarneh… - Comput. Mater …, 2023 - researchgate.net
Various feature selection algorithms are usually employed to improve classification models'
overall performance. Optimization algorithms typically accompany such algorithms to select …

[PDF][PDF] A novel machine learning based hybrid approach for breast cancer relapse prediction

G Sahoo, AK Nayak, PK Tripathy… - Indones. J. Electr. Eng …, 2023 - academia.edu
The second leading cause of death for women is breast cancer, which is growing. Some
cancer cells may remain in the body, so relapse is possible even if treatment begins soon …