Reviewing ensemble classification methods in breast cancer
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …
the same task. This approach was designed to overcome the weaknesses of single …
Classification techniques in breast cancer diagnosis: a systematic literature review
Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …
relationships and then summarising the data in new ways that are both understandable and …
[HTML][HTML] Predicting kidney graft survival using machine learning methods: prediction model development and feature significance analysis study
Background Kidney transplantation is the optimal treatment for patients with end-stage renal
disease. Short-and long-term kidney graft survival is influenced by a number of donor and …
disease. Short-and long-term kidney graft survival is influenced by a number of donor and …
[PDF][PDF] Prediction model on student performance based on internal assessment using deep learning
Educational Data Mining and Deep learning play a crucial role in identifying academically
weak students of an institute and help them by developing different recommendation …
weak students of an institute and help them by developing different recommendation …
Machine learning for predictive data analytics in medicine: A review illustrated by cardiovascular and nuclear medicine examples
A Jamin, P Abraham… - Clinical physiology and …, 2021 - Wiley Online Library
The evidence‐based medicine allows the physician to evaluate the risk–benefit ratio of a
treatment through setting and data. Risk‐based choices can be done by the doctor using …
treatment through setting and data. Risk‐based choices can be done by the doctor using …
Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis
R Geetharamani, G Sivagami - Medical and Biological …, 2021 - search.proquest.com
Breast cancer is the most common cancer in women occurring worldwide. Some of the
procedures used to diagnose breast cancer are mammogram, breast ultrasound, biopsy …
procedures used to diagnose breast cancer are mammogram, breast ultrasound, biopsy …
Review of intelligent algorithms for breast cancer control: A Latin America perspective
JM Valencia-Moreno… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Breast cancer in women is a worldwide health problem that is one of the main causes of
death. This situation is accentuated in Latin America and the Caribbean countries, where …
death. This situation is accentuated in Latin America and the Caribbean countries, where …
Enhancing ensemble prediction accuracy of breast cancer survivability and diabetes diagnostic using optimized EKF-RBFN trained prototypes
We are in a machine learning age where several predictive applications that are life
dependent are made by machines and robotic devices that relies on ensemble decision …
dependent are made by machines and robotic devices that relies on ensemble decision …
Performance Analysis of Machine Learning, Deep Learning and Ensemble Techniques for Breast Cancer Diagnosis
Cancer is always a life-threatening disease. The lives of people can be saved only through
proper treatment of cancer. Within the human body, there are different kinds of cancer that …
proper treatment of cancer. Within the human body, there are different kinds of cancer that …
Applying the Ensemble Technique for Improving Rule-based Models Performance
P Klangnok, J Thongkam - 2018 - 202.28.34.124
Modeling for high-performance forecasting is a challenging research. This research aims to
enhance the performance of basic models including FURIA, MODLEM and RIPPER with …
enhance the performance of basic models including FURIA, MODLEM and RIPPER with …