[PDF][PDF] Correlation-based feature selection and Smote-Tomek Link to improve the performance of machine learning methods on cancer disease prediction.

LGR Putra, K Marzuki, H Hairani - Engineering & Applied Science …, 2023 - researchgate.net
Indonesia is an archipelago with the fourth largest population in the world, with a population
of 283 million. In Indonesia, breast cancer ranks first in cancer and is the highest contributor …

Automatic calibration methodology using machine learning with low-cost and meteorological sensors

RMA Velásquez, VMD Vigo… - 2023 IEEE XXX …, 2023 - ieeexplore.ieee.org
In the last years several low-cost sensors (LCS) were installed in Lima, however, the
accuracy, reliability, comparability and standardization compared with robust Senamhi …

Implementation of SMOTE and whale optimization algorithm on breast cancer classification using backpropagation

N Erlianita, MI Mazdadi, TH Saragih… - Journal of Electronics …, 2023 - jeeemi.org
Breast cancer, which is characterized by uncontrolled cell growth, is the primary cause of
mortality among women worldwide. The unchecked proliferation of cells leads to the …

A Comprehensive Deep Dive into Machine Learning: Types, Techniques, and Unravelling its Impact on Diverse Domains

GS Mohammed - Al-Salam Journal for Engineering and …, 2024 - journal.alsalam.edu.iq
This research aims to provide a comprehensive and in-depth review of the field of machine
learning, focusing on its types and techniques, and clarifying the impact of this approach on …

Machine learning based computer aided diagnosis of breast tumor from Dynamic Contrast Enhanced MRI images

HM Dhimmar, AK SP, S Fathimal - 2024 Tenth International …, 2024 - ieeexplore.ieee.org
Worldwide, breast cancer (BC) is the most common cancer to be diagnosed in women. It is
currently the second most common cause of cancer-related death, trailed only by lung …

Enhancing Online Learning: A Comparative Analysis of Machine Learning Models and Data Visualization Techniques for Predicting Learner Flexibility

PK Priya, RK Suguna, S Sujitha, G Devi… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
The fast growth of online learning has increased the demand for efficient tools and
approaches to measure and improve student's capacity to adapt to online learning. This …

Breast Cancer Prediction Using Various Machine Learning Algorithms and Their Comparative Analysis

G Choudhari, R Desai, P Dagale… - 2023 IEEE Pune …, 2023 - ieeexplore.ieee.org
Breast cancer is a grave health risk and impacts millions of women globally. For effective
treatment, it must be detected as early as possible. Use of ML-based algorithms for the …

Scholarships Assignments: An Important Challenge of Resources Allocation. Case Study: Completion Prediction System for Mexican Institution

F Orduña-Ferreira, AL Franzoni-Velazquez - International Conference on …, 2023 - Springer
This exploratory study proposes a system that uses machine learning and data science to
predict which students from e-Learning programs will finish their studies, allowing …

The Transformative Potential of Artificial Intelligence in the Diagnosis of Breast Cancer: A Review

H Anwar, I Chaudhary - Authorea Preprints, 2024 - techrxiv.org
Breast cancer stands as a pressing health concern for women across the globe with millions
of new cases worldwide each year. The diagnostic procedures often rely on expert analysis …

[PDF][PDF] Breast Cancer Prediction Using Machine Learning Algorithms

ZA Shahzad - 2024 - dspace.library.uvic.ca
Breast cancer has become a pressing global health issue with its prevalence increasing
worldwide. The rise in breast cancer cases is a cause for concern as it not only affects the …