Articles

Comparative Analysis of Machine Learning Models for Heart Disease Classification: Evaluation of Random Forest, XGBoost, and Logistic Regression with Hyperparameter Optimization

Tomás López Aníbal (University of Otago, New Zealand)
Lai li-We (National Cheng Kung University, Taiwan, Province of China)
Abstract View : 9     PDF downloads: 1
1-11

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Hybrid Deep Learning Architecture with Interpretable Feature Selection for Breast Cancer Diagnosis from Fine Needle Aspirate Images

Rabiu Okanlawon (University of Ghanaiversity of Pretoria, Ghana)
K Castaño (Universidad Tecnológica de Pereira, Colombia)
Abstract View : 7     PDF downloads: 2
12-18

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Explainable AI-Based Heart Disease Classification: A Deep Learning Framework with Limited Features and Clinical Interpretability for Resource-Constrained Healthcare Settings

Jaminton Muñoz (Universidad Tecnológica de Pereira, Colombia)
Giannis Tzoulis (University of Patras, Greece)
Abstract View : 7     PDF downloads: 2
19-28

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Hybrid Ensemble Learning with Active Feature Selection for Early-Stage Cardiovascular Risk Stratification: A Multi-Modal Approach Using UCI Clinical Biomarkers

Panom Tamene (Hawassa University, Ethiopia)
Koundé Moanu (Université Paris-Saclay, France)
Abstract View : 14     PDF downloads: 7
29-35

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Federated Learning-Based Heart Disease Prediction with Privacy-Preserving Clinical Data Fusion: A Comparative Analysis of Lightweight AI Models for Distributed Healthcare Systems

Amit Vijayan (Birla Institute of Technology and Science, India)
Abstract View : 10     PDF downloads: 2
36-42

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