[HTML][HTML] Classification models combined with Boruta feature selection for heart disease prediction

G Manikandan, B Pragadeesh, V Manojkumar… - Informatics in Medicine …, 2024 - Elsevier
Cardiovascular disease (CVD), generally called heart illness, is a collective term for various
ailments that affect the heart and blood vessels. Heart disease is a primary cause of fatality …

[HTML][HTML] Diabetes risk prediction model based on community follow-up data using machine learning

L Jiang, Z Xia, R Zhu, H Gong, J Wang, J Li… - Preventive Medicine …, 2023 - Elsevier
Diabetes is a chronic metabolic disease characterized by hyperglycemia, the follow-up
management of diabetes patients is mostly in the community, but the relationship between …

Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus

NF Idris, MA Ismail, MIM Jaya, AO Ibrahim… - Plos one, 2024 - journals.plos.org
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient
Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare …

[PDF][PDF] Soft Set-based Parameter Reduction Algorithm Through a Discernibility Matrix and the Hybrid Approach for the Risk-Factor Prediction of Cardiovascular …

M Anbumani, K Kaniyaiah - Pertanika Journal of Science & …, 2024 - 119.40.116.186
Parameter reduction without performance degradation is a promising task in decision-
making problems. For instance, a great challenge exists in constructing cost functions in …

An Effective Framework for Early Detection and Classification of Cardiovascular Disease (CVD) Using Machine Learning Techniques

S Chaurasia, M Kamble - International Conference on Communication and …, 2023 - Springer
Cardiovascular disease (CVD) is a condition that can kill and is becoming more common
around the world. CVD and other heart illnesses could be found and predicted early on …

IoT-Based Heart Disease Prediction System

V Manvitha, SM Ahmed, PR Rao, VK Gunjan - Modern Approaches in IoT …, 2023 - Springer
Health is wealth and it cannot be discarded. Among the many diseases, we see heart
disease as the major cause of deaths. Advancement in technology and its impact on people …

Data Mining Applications in Healthcare: A Comparative Analysis of Classification Techniques for Diabetes Diagnosis Using the PIMA Indian Diabetes Dataset

P Verma, A Khatoon - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
Data mining involves extracting valuable information from a substantial quantity of data.
Numerous applications for data mining can be found in different areas such as finance …

Predicted Multi-Chronic Disease by Supervised Machine Learning Algorithms: Performance and Evaluation

OS Salman, NMA Latiff, SHS Arifin… - ELEKTRIKA-Journal of …, 2024 - elektrika.utm.my
Current environmental conditions and human lifestyles have resulted in the emergence of
numerous diseases. The medical field generates an enormous amount of new data each …

Assessing the Robustness of Machine Learning Algorithms for Cardiovascular Disease Detection Across Diverse Clinical Datasets

MD Proma, K Akther, BS Priya… - 2023 1st …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVD) continue to pose significant health risks globally,
accentuating the need for early and precise detection mechanisms. With the evolution of …

Prediction of Heart Failure in Type 2 Diabetes Mellitus Subjects Using Machine Learning: A Cross-Sectional Study

AOA Alake, OAO Oluboyo, OOO Odewusi - 2024 - researchsquare.com
Abstract The concomitance of Type 2 Diabetes Mellitus (T2DM) and heart failure has made
scientists investigate ways the onset of heart failure in T2DM can be predicted. Machine …