Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

S Saleh, B Cherradi, O El Gannour, S Hamida… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …

Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer

S Geeitha, K Ravishankar, J Cho… - Scientific Reports, 2024 - nature.com
Cervical cancer is one of the most dangerous malignancies in women. Prolonged survival
times are made possible by breakthroughs in early recognition and efficient treatment of a …

[PDF][PDF] 基于组合时域特征提取和Stacking 集成学习的燃煤锅炉NOx 排放浓度预测

唐振浩, 隋梦璇, 曹生现 - 中国电机工程学报, 2024 - epjournal.csee.org.cn
为提高火电厂锅炉出口NOx 排放浓度的预测精度, 提出一种考虑组合时域特征的Stacking
集成学习模型. 首先, 为挖掘数据深层信息, 采用时序分析, 完全自适应噪声集合经验模态分解 …

Breast cancer prediction using machine learning models

O Iparraguirre-Villanueva, A Epifanía-Huerta… - 2023 - repositorio.uwiener.edu.pe
Breast cancer is a type of cancer that develops in the cells of the breast. Treatment for breast
cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting …

An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection

O Bilal, S Asif, M Zhao, SUR Khan, Y Li - Computers and Electrical …, 2025 - Elsevier
Cervical cancer is a critical global health issue by affecting millions of women each year and
causing high mortality rates if not diagnosed early. Early detection of cervical cancer …

[PDF][PDF] Design of a optimization algorithm for binary classification

MAC Lengua, EAP Quiroz, MAA Cifuentes… - Indonesian Journal of …, 2023 - academia.edu
In the present work, the design of a system to classify data is carried out, using the Scrum
methodology. The validation was carried out by expert judgment, having favorable results in …

Biomarkers to Predictive Modeling: Leveraging Feature Selection and Ensemble Learning for Ovarian Cancer Prognosis

J Srivastava, M Rathi - Proceedings of the 2024 Sixteenth International …, 2024 - dl.acm.org
Treatment outcomes and patient survival rates are greatly improved by early identification of
ovarian cancer. However, to increase diagnostic accuracy, effective predictive modeling is …

A Stacking Ensemble Learning Algorithm for Anomaly Early Detection of Liquid Levels in High-Pressure Heaters of Turbine Reheat Systems

W Xu, T Zhou, Y Wang, N Wang, P Qin… - International Journal of …, 2024 - World Scientific
In the steam turbine reheating system, maintaining the high-pressure heater liquid level is
crucial to prevent equipment damage and safety accidents. High liquid levels may cause …

Advancing Oropharyngeal Cancer Prognosis: A Novel Ensemble Machine Learning Approach

PK Ataş - Veri Bilimi, 2023 - dergipark.org.tr
The use of machine learning algorithms to forecast survival rates in patients with
oropharyngeal cancer is the main focus of this study. Given the complexity and variability …

TransPapCanCervix: An Enhanced Transfer Learning-based Ensemble Model for Cervical Cancer Classification

B Bhavsar, B Shrimali - 2024 - authorea.com
0 Cervical cancer, like many other cancers, is most treatable when detected at an early
stage. Using classification methods helps find early signs of cancer and small tumors. This …