has been cited by the following article(s):
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[1]
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Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models
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Sensors,
2023 |
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[2]
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Hybrid Model Feature Selection with the Bee Swarm Optimization Method and Q-Learning on the Diagnosis of Coronary Heart Disease
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Information,
2023 |
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[3]
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Analysis of Coronary Artery Disease Using Various Machine Learning Techniques
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… Systems Using Soft …,
2023 |
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[4]
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Excogitation of Stacked Strategy for Coronary Artery Disease Diagnosis
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… Conference on Data …,
2022 |
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[5]
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An Empirical Study Of Machine Learning Regression Models to Predict Health Insurance Cost
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Webology (ISSN: 1735-188X),
2022 |
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[6]
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Hybrid Model for Coronary Artery Disease Classification Based on Neural Networks and Evolutionary Algorithms.
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Journal of Information Science & …,
2022 |
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[7]
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An Insight of Deep Learning Applications in the Healthcare Industry
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… Systems Using Soft …,
2022 |
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[8]
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Global estimates of 500 m daily aerodynamic roughness length from MODIS data
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ISPRS Journal of Photogrammetry …,
2022 |
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[9]
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Effective predictive modelling for coronary artery diseases using support vector machine
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… International Journal of …,
2022 |
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[10]
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Heart Failure Prediction by Feature Ranking Analysis in Machine Learning
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2021 |
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[11]
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Optimalisasi Kinerja Klasifikasi Melalui Seleksi Fitur dan AdaBoost dalam Penanganan Ketidakseimbangan Kelas
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JURNAL MEDIA INFORMATIKA …,
2021 |
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[12]
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Consensus of Feature Selection Methods and Reduced Generalization Gap Model to Improve Diagnosis of Heart Disease
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Journal of Scientific Research,
2021 |
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[13]
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Argumentative Comparative Analysis of Machine Learning on Coronary Artery Disease
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2020 |
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[1]
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A Hybrid Machine Learning Model (NB-SVM) for Cardiovascular Disease Prediction
2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS),
2023
DOI:10.1109/ICSCDS56580.2023.10104808
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[2]
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Evaluating the Performance of Supervised Machine Learning Algorithms for Predicting Multiple Diseases: A Comparative Study
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS),
2023
DOI:10.1109/ICACCS57279.2023.10113100
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[3]
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Predicting Coronary Artery Disease using an Ensemble Voting Model and Machine Learning Techniques
2023 9th International Conference on Smart Structures and Systems (ICSSS),
2023
DOI:10.1109/ICSSS58085.2023.10407075
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[4]
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Excogitation of Stacked Strategy for Coronary Artery Disease Diagnosis
2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI),
2022
DOI:10.1109/ICDSAAI55433.2022.10028959
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[5]
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Hybrid Model Feature Selection with the Bee Swarm Optimization Method and Q-Learning on the Diagnosis of Coronary Heart Disease
Information,
2022
DOI:10.3390/info14010015
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[6]
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Excogitation of Stacked Strategy for Coronary Artery Disease Diagnosis
2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI),
2022
DOI:10.1109/ICDSAAI55433.2022.10028959
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[7]
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Heart Failure Prediction by Feature Ranking Analysis in Machine Learning
2021 6th International Conference on Inventive Computation Technologies (ICICT),
2021
DOI:10.1109/ICICT50816.2021.9358733
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