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Evaluation of machine learning models for predicting heart disease
INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN AI AND COMPUTATIONAL TECHNOLOGIES: ICONEST2024,
2026
DOI:10.1063/5.0318550
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FedSec+: An advanced privacy-enhanced cardiovascular disease prediction model using federated learning
INTERNATIONAL CONFERENCE ON INNOVATIONS IN COMPUTING AND APPLICATIONS (ICICA-24),
2025
DOI:10.1063/5.0248335
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[3]
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Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS)
BMC Public Health,
2025
DOI:10.1186/s12889-025-21609-7
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[4]
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Accuracy comparison of novel random forest algorithm with decision tree in predicting dysrhythmia disease
INNOVATIONS IN THERMAL, MANUFACTURING, STRUCTURAL AND ENVIRONMENTAL ENGINEERING: ICITMSEE’24,
2025
DOI:10.1063/5.0265783
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Comparative Analysis of Supervised Learning Algorithms for Clinical Diagnosis Heart Attack Prediction
Journal of Artificial Intelligence and Capsule Networks,
2025
DOI:10.36548/jaicn.2025.3.004
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Temporal trends and machine learning prediction of depressive symptoms among Chinese middle-aged and elderly individuals: a national cohort study
BMC Public Health,
2025
DOI:10.1186/s12889-025-24103-2
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[7]
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A Personalized and Evidence-Based Clinical Decision Support System Using Ensemble Learning
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
2025
DOI:10.1109/EMBC58623.2025.11253016
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[8]
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Employing Neural Networks to Predict Coronary Heart Disease Based on Physiological Parameters
2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM),
2025
DOI:10.1109/ICONSTEM65670.2025.11374731
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[9]
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A Comparative Study using Random Forests and SVM Models for Machine Learning Techniques to Predict Heart Disease Accurately
2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN),
2025
DOI:10.1109/ICECMSN68058.2025.11383194
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[10]
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Using an innovative method for breast cancer diagnosis based on Extreme Gradient Boost optimized by Simplified Memory Bounded A*
Biomedical Signal Processing and Control,
2024
DOI:10.1016/j.bspc.2023.105450
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[11]
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Information and Software Technologies
Communications in Computer and Information Science,
2024
DOI:10.1007/978-3-031-48981-5_22
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[12]
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Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction
Journal of Intelligent & Fuzzy Systems,
2024
DOI:10.3233/JIFS-219376
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[13]
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Benchmarking Multiple Machine Learning Algorithms for Sentiment Analysis on Sexual Violence
2024 6th International Conference on Cybernetics and Intelligent System (ICORIS),
2024
DOI:10.1109/ICORIS63540.2024.10903985
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[14]
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Efficient Machine Learning Model for Cardiac Disease Prediction
2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN),
2023
DOI:10.1109/ViTECoN58111.2023.10157382
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Multiple-criteria decision making, feature selection, and deep learning: A golden triangle for heart disease identification
Engineering Applications of Artificial Intelligence,
2023
DOI:10.1016/j.engappai.2023.106662
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[16]
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P‐83: Optimizing Water‐proofing Algorithm with Machine Learning for Wearable OLED In‐Cell Touch Panel
SID Symposium Digest of Technical Papers,
2023
DOI:10.1002/sdtp.16917
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[17]
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Enhanced cardiovascular disease prediction model using random forest algorithm
Informatics in Medicine Unlocked,
2023
DOI:10.1016/j.imu.2023.101316
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