Enhancing Prostate Cancer Diagnosis: Leveraging XGBoost for Accurate Classification

S Degadwala, D Vyas, A Jadeja… - 2023 Second …, 2023 - ieeexplore.ieee.org
This research introduces a new method for classifying prostate cancer using a powerful
machine learning algorithm called XGBoost. The leading cause of cancer-related fatalities …

Deploying deep convolutional neural network to the battle against cancer: Towards flexible healthcare systems

M Shahin, FF Chen, A Hosseinzadeh… - Informatics in Medicine …, 2024 - Elsevier
The complexity of the facilities of healthcare providers goes beyond their physical
articulation, function, and organization; it also involves integrating technology and …

[PDF][PDF] Soft-Voting Ensemble Model: An Eącient Learning Approach for Predictive Prostate Cancer Risk

HM Tan - Vietnam Journal of Computer Science, 2024 - researchgate.net
Prostate cancer is increasingly common among men. However, the process of diagnosing
malignant disease is relatively complicated and time-consuming. Identifying benign or …

A Comparative Study of Machine Learning Techniques for Early Prediction of Prostate Cancer

MS Alzboon, M Al-Batah, M Alqaraleh… - 2023 IEEE Tenth …, 2023 - ieeexplore.ieee.org
Prostate cancer is one of the leading causes of cancer-related deaths among men. Early
detection of Prostate cancer is important in improving the survival rate of patients. In this …

Enhancing Breast Cancer Prediction with an Advanced K-Nearest Neighbors (KNN) Algorithm Integrated with Feedback Support Mechanism

C Arthur, KD Hartomo - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Cancer poses a formidable global health challenge characterized by a persistent rise in
mortality rates, with breast cancer emerging as the predominant form in 2020. Effectively …