Handling imbalanced medical datasets: review of a decade of research
Abstract Machine learning and medical diagnostic studies often struggle with the issue of
class imbalance in medical datasets, complicating accurate disease prediction and …
class imbalance in medical datasets, complicating accurate disease prediction and …
Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review
NG Ramadhan, W Maharani, AA Gozali - IEEE Access, 2024 - ieeexplore.ieee.org
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …
Split Difference Weighting: An Enhanced Decision Tree Approach for Imbalanced Classification
T Zhou, X Gao, X Sun, L Han - INTERNATIONAL JOURNAL OF …, 2024 - univagora.ro
Imbalanced data classification remains a significant challenge in machine learning,
particularly in decision tree algorithms where majority class features are often …
particularly in decision tree algorithms where majority class features are often …
Heart Attack Prediction Model Based on Feature Selection and Decision Tree Approaches
HA Jaber, MS Thabet, RAH Fahd… - … Europe Journal of …, 2024 - moodletest.ius.edu.ba
The purpose of this study is creating a machine learning based model is to predict heart
attacks is to improve the capacity to anticipate the occurrence of this dangerous medical …
attacks is to improve the capacity to anticipate the occurrence of this dangerous medical …