Ahmed, S. T. (2017). A study on multi objective optimal clustering techniques for medical datasets. In 2017 international conference on intelligent computing and control systems (ICICCS) (pp. 174-177).
Ahmed, S. T. (2023). AITel: eHealth Augmented Intelligence based Telemedicine Resource Recommendation Framework for IoT devices in Smart cities. IEEE Internet of Things Journal.
Al Maruf, A. a. (2023). Prediction of Heart Disease and Heart Failure Using Ensemble Machine Learning Models. In International Conference on Machine Learning, IoT and Big Data (pp. 481-492).
Ali, F. a.-S.-S. (2020). A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion. Information Fusion, 208-222.
Ali, M. M. (2021). Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Computers in Biology and Medicine, 104672.
Ashraf, M. a. (2021). Prediction of cardiovascular disease through cutting-edge deep learning technologies: an empirical study based on TENSORFLOW, PYTORCH and KERAS. Springer.
Austin, P. C. (2013). Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes. Journal of clinical epidemiology, 398-407.
Babu, S. a. (2017). Heart disease diagnosis using data mining technique. In 2017 international conference of electronics, communication and aerospace technology (ICECA) (pp. 750-753).
Chicco, D. a. (2020). Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC medical informatics and decision making, 1--16.
Dangare, C. S. (2012). Improved study of heart disease prediction system using data mining classification techniques. International Journal of Computer Applications, 44-48.
Dinesh, K. G. (2018). Prediction of cardiovascular disease using machine learning algorithms. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-7).
Islam, S. M. (2021). Digital health approaches for cardiovascular diseases prevention and management: lessons from preliminary studies. Mhealth.
Katarya, R. a. (2021). Machine learning techniques for heart disease prediction: a comparative study and analysis. Health and Technology, 87--97.
Kavitha, M. a. (2021). Heart disease prediction using hybrid machine learning model. In 2021 6th international conference on inventive computation technologies (ICICT) (pp. 1329-1333).
Kumar, S. S. (2022). Unstructured Oncological Image Cluster Identification Using Improved Unsupervised Clustering Techniques. Computers, Materials \& Continua.
LK, S. S. (2021). COVID-19 outbreak based coronary heart diseases (CHD) prediction using SVM and risk factor validation. In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT) (pp. 1-5).
Louridi, N. a. (2019). Identification of cardiovascular diseases using machine learning. In 2019 7th mediterranean congress of telecommunications (CMT) (pp. 1-6).
Nagarajan, S. M. (2021). Feature selection model for healthcare analysis and classification using classifier ensemble technique. International Journal of System Assurance Engineering and Management, 1-12.
Rajendran, N. A. (2021). Heart disease prediction system using ensemble of machine learning algorithms. Recent Patents on Engineering, 130-139.
Raza, K. (2019). Improving the prediction accuracy of heart disease with ensemble learning and majority voting rule. In U-Healthcare Monitoring Systems (pp. 179-196).
Sai Shekhar, M. a. (2020). Heart Disease Prediction Using Machine Learning. In International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (pp. 603-609).
Shorewala, V. (2021). Early detection of coronary heart disease using ensemble techniques. Informatics in Medicine Unlocked, 100655.
Subasi, A. a. (2021). Intrusion detection in smart healthcare using bagging ensemble classifier. In International Conference on Medical and Biological Engineering (pp. 164-171).
Zhang, Z. a. (2020). Enhanced character-level deep convolutional neural networks for cardiovascular disease prediction. BMC medical informatics and decision making, 1-10