|
[1]
|
ICT Analysis and Applications
Lecture Notes in Networks and Systems,
2026
DOI:10.1007/978-3-032-06688-6_3
|
|
|
|
|
[2]
|
Computational Intelligence in Communications and Business Analytics
Communications in Computer and Information Science,
2025
DOI:10.1007/978-3-031-81339-9_18
|
|
|
|
|
[3]
|
Enhancing Therapeutic Investigation Through AI Driven Convolutional Neural Network in Comparison with Deep Learning Techniques
Journal of Machine and Computing,
2025
DOI:10.53759/7669/jmc202505084
|
|
|
|
|
[4]
|
SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction
Scientific Reports,
2025
DOI:10.1038/s41598-025-02525-7
|
|
|
|
|
[5]
|
Predictive diagnostics for early identification of cardiovascular disease: a machine learning approach
International Journal on Smart Sensing and Intelligent Systems,
2025
DOI:10.2478/ijssis-2025-0021
|
|
|
|
|
[6]
|
Heart Disease Prediction Using Bi-GRU with GWO for Tuning Parameter
2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI),
2025
DOI:10.1109/ICDICI66477.2025.11135208
|
|
|
|
|
[7]
|
Micro-electronics and Telecommunication Engineering
Lecture Notes in Networks and Systems,
2025
DOI:10.1007/978-981-96-6515-0_28
|
|
|
|
|
[8]
|
Predict, Prevent, Personalize: A Machine Learning Approach to Heart Attack Risk and Dietary Planning
2025 9th International Conference on Computing, Communication, Control and Automation (ICCCBEA),
2025
DOI:10.1109/ICCUBEA65967.2025.11284185
|
|
|
|
|
[9]
|
Comparative analysis of Machine Learning Techniques for the Detection of Heart Disease
2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG),
2024
DOI:10.1109/SEB4SDG60871.2024.10630392
|
|
|
|
|
[10]
|
Enhanced heart disease prediction through hybrid CNN-TLBO-GA optimization: a comparative study with conventional CNN and optimized CNN using FPO algorithm
Cogent Engineering,
2024
DOI:10.1080/23311916.2024.2384657
|
|
|
|
|
[11]
|
A Comparative Study of Classical and Quantum Algorithms for Heart Disease Prediction Using Patients' Vital Signs
2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC),
2024
DOI:10.1109/COMPSAC61105.2024.00290
|
|
|
|
|
[12]
|
Predictive Cardiovascular Risk Modeling Using Machine Learning Techniques
2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS),
2024
DOI:10.1109/ICTACS62700.2024.10840904
|
|
|
|
|
[13]
|
Recognition of Heart Disease Based on Primitive Parameters Using Machine Learning Model
2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA),
2023
DOI:10.1109/ICECA58529.2023.10395049
|
|
|
|
|
[14]
|
A highly efficient and scalable prediction approach based on random forest that is capable of handling enormous data sets
2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES),
2023
DOI:10.1109/ICSES60034.2023.10465519
|
|
|
|