Hybrid optimization enabled deep learning-based ensemble classification for heart disease detection

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

Rakita, A., Nikolić, N., Mildner, M., Matiasek, J., & Elbe‐Bürger, A. (2020) · Scientific Reports · doi:10.1038/s41598-019-56847-4 · Cited by 8,228 · see citing works

Water cycle algorithm – A novel metaheuristic optimization method for solving constrained engineering optimization problems

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Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

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Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning

Bharti, R., Khamparia, A., Shabaz, M., Dhiman, G., Pande, S. D., & Singh, P. (2021) · Computational Intelligence and Neuroscience · doi:10.1155/2021/8387680 · Cited by 608 · see citing works

A decision support system for heart disease prediction based upon machine learning

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An artificial intelligence model for heart disease detection using machine learning algorithms

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Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System

Nashif, S., Raihan, M. R., Islam, M. R., & Imam, H. (2018) · World Journal of Engineering and Technology · doi:10.4236/wjet.2018.64057 · Cited by 242 · see citing works

A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process

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Machine Learning Technology-Based Heart Disease Detection Models

Nagavelli, U., Samanta, D., & Chakraborty, P. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/7351061 · Cited by 222 · see citing works

Heart disease detection using deep learning methods from imbalanced ECG samples

Rath, A., Mishra, D., Panda, G., & Satapathy, S. C. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102820 · Cited by 179 · see citing works

Cardiovascular diseases prediction by machine learning incorporation with deep learning

Subramani, S., Varshney, N., Anand, M., Soudagar, M. E. M., Al‐Keridis, L. A., Upadhyay, T. K., Alshammari, N. I., Saeed, M., Subramanian, K., Anbarasu, K., et al. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1150933 · Cited by 164 · see citing works

Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico

Baccouche, A., García-Zapirain, B., Castillo-Olea, C., & Elmaghraby, A. S. (2020) · Information · doi:10.3390/info11040207 · Cited by 130 · see citing works

Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder

Mienye, I. D., & Sun, Y. (2021) · Electronics · doi:10.3390/electronics10192347 · Cited by 91 · see citing works

Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method

Javid, I., Khalaf, A., & Ghazali, R. (2020) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2020.0110369 · Cited by 87 · see citing works

Heart disease diagnosis using data mining technique

Babu, S. K., Vivek, E. M., Famina, K. P., Fida, K. A. F., Aswathi, P., Shanid, M., & Hena, M. (2017) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca.2017.8203643 · Cited by 80 · see citing works

Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

Li, C., Wang, Y., Zhang, X., Gao, H., Yang, Y., & Wang, J. (2019) · Sensors · doi:10.3390/s19010204 · Cited by 79 · see citing works

Towards Buildings Energy Management: Using Seasonal Schedules Under Time of Use Pricing Tariff via Deep Neuro-Fuzzy Optimizer

Javaid, S., Abdullah, M., Javaid, N., Sultana, T., Ahmed, J., & Sattar, N. A. (2019) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc.2019.8766673 · Cited by 56 · see citing works

Monarch-EWA: Monarch-Earthworm-Based Secure Routing Protocol in IoT

Sugave, S. R., & Jagdale, B. N. (2019) · The Computer Journal · doi:10.1093/comjnl/bxz135 · Cited by 40 · see citing works

A Novel Feature Selection with Hybrid Deep Learning Based Heart Disease Detection and Classification in the e-Healthcare Environment

Dwarakanath, B., Latha, M. S., Annamalai, R., Kallimani, J. S., Walia, R., & Belete, B. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/1167494 · Cited by 37 · see citing works

Heart disease detection using hybrid of bacterial foraging and particle swarm optimization

Kora, P., Abraham, A., & Meenakshi, K. (2019) · Evolving Systems · doi:10.1007/s12530-019-09312-6 · Cited by 35 · see citing works

Efficient heart disease prediction‐based on optimal feature selection using DFCSS and classification by improved Elman‐SFO

Wankhede, J., Kumar, S. M., & Sambandam, P. (2020) · IET Systems Biology · doi:10.1049/iet-syb.2020.0041 · Cited by 35 · see citing works

Heart Disease Prediction using CNN, Deep Learning Model

Harkulkar, N. (2020) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2020.32671 · Cited by 22 · see citing works

Discriminative Neural Network for Coronary Heart Disease Detection

Gu, X., Jiang, Y., & Ni, T. (2019) · Journal of Medical Imaging and Health Informatics · doi:10.1166/jmihi.2020.2900 · Cited by 4 · see citing works

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis

Xu, X., Li, J., Zhu, Z., Zhao, L., Wang, H., Song, C., Chen, Y., Zhao, Q., Yang, J., & Pei, Y. (2024) · Bioengineering · doi:10.3390/bioengineering11030219 · Cited by 242 · see citing works

Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases

Goyal, A., & Lakhwani, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-97159-0 · Cited by 34 · see citing works

Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction

Kalita, K., Ganesh, N., Jayalakshmi, S., Chohan, J. S., Mallik, S., & Qin, H. H. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1279644 · Cited by 27 · see citing works

Heart Disease Diagnostics Using Meta‐Learning‐Based Hybrid Feature Selection

Dissanayake, K., & Johar, M. G. M. (2024) · Applied Computational Intelligence and Soft Computing · doi:10.1155/2024/8800497 · Cited by 18 · see citing works

Hybrid deep learning framework for heart disease prediction using ECG signal images

Dhandapani, S., Somasundaram, H., & Tamilarasi, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-10062-6 · Cited by 18 · see citing works

Prediction of heart disease using machine learning and hybrid methods

Venkatesh, D., Saravanan, T., Raghavaraju, D., Bhaskar, M. V., & Vasundra, S. (2023) · International Conference on Optimization Techniques for Learning (ICOTL) · doi:10.1109/icotl59758.2023.10435033 · Cited by 10 · see citing works

An enhanced discovery of multiple natural disasters using machine learning model

Thirukrishna, J. T. (2025) · Earth Science Informatics · doi:10.1007/s12145-025-01793-1 · Cited by 7 · see citing works

Next-Gen Security: Leveraging Advanced Technologies for Social Medical Public Healthcare Resilience

Dash, J., Barekar, S. S., Borhade, R. R., Ikhar, S., Afaq, A., & Bendale, S. P. (2024) · South Eastern European Journal of Public Health · doi:10.52710/seejph.486 · Cited by 5 · see citing works

XGBoost-Enhanced Prediction and Interpretation of Heart Disease Using SHAP Values

Mao, Q., Jiang, W., Sun, G., & Zeng, D. (2023) · International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI) · doi:10.1109/iccbd-ai62252.2023.00134 · Cited by 4 · see citing works

A survey on ensemble classification methods from the dual perspectives of sampling and learning

Xue, Y., Han, M., Li, Y., & Ma, C. (2025) · Knowledge and Information Systems · doi:10.1007/s10115-025-02647-4 · Cited by 3 · see citing works

A Somatotype Classification Approach Based on Generative AI and Frontal Images of Individuals

Brasil, A. R. A., do Amaral, F. T., Oliveira, L. C. D. L., Brasil, G. A., Côco, K. F., & Ciarelli, P. M. (2025) · IEEE Access · doi:10.1109/access.2025.3553797 · Cited by 3 · see citing works

Boosting medical diagnostics with a novel gradient-based sample selection method

Aymaz, S. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109165 · Cited by 2 · see citing works

Integrating Ant Colony Optimization With Deep Learning for Improved Kidney Disease Diagnosis and Prognosis

Singh, J., Sharma, D. K., Bhavani, C., Rahul, S., Rana, M. K., & Mishra, J. P. (2024) · Advances in computer and electrical engineering book series · doi:10.4018/979-8-3693-6834-3.ch006 · Cited by 1 · see citing works

Heart Disease Prediction Using Tree Structured Parzen Estimator Optimization

Hemalatha, S., Kavitha, T., Sivabalaselvamani, D., Karthika, R. T., Hariprasath, N., & Desikan, R. (2024) · International Conference on Sustainable Communication Networks and Application (ICSCNA) · doi:10.1109/icscna63714.2024.10864126 · Cited by 1 · see citing works

Biodata-centric cardiovascular disease prediction using multi-objective genetic algorithm-driven deep ensembles

Madbouly, M. M., Darwish, S. M., & El-Shoafy, N. A. (2025) · Scientific Reports · doi:10.1038/s41598-025-28771-3 · Cited by 1 · see citing works

Optimizing CNN Performance for Heart Attack Detection through Grey Wolf Algorithm

Kumar, G. A., Katiyar, A., & Kannan, A. (2024) · Asia Pacific Conference on Innovation in Technology (APCIT) · doi:10.1109/apcit62007.2024.10673435 · Cited by 1 · see citing works

Early cardiovascular risk detection using gated attention GoogleNet + + and CT imaging

Suresh, M., & Maragatharajan, M. (2025) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-025-02791-x

BiTabNet_CFs: A Novel Hybrid Deep Learning Framework for Diabetes Mellitus Detection

Rajan, R., Karthik, C., Jeslin, J. G., & Gurusamy, N. (2025) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001425400075

A meta-analytic assessment of ensemble methods in cardi-ovascular disease prediction

Kumar, N., Agarwal, R., Sharma, L. K., & Vashisth, R. (2026) · AIP conference proceedings · doi:10.1063/5.0329122

Design and Implementation of Hypertensive Heart Disease prediction model using ensemble Machine Learning Techniques

Mogaji, S. A., Ige, M. V., Odufuwa, T. T., Idowu, D. O., & Hassan, B. J. (2026) · ABUAD International Journal of Natural and Applied Sciences · doi:10.53982/aijnas.2026.08-j

A Novel Hybrid Feature Selection Framework with Dimensionality Reduction for Early Cardiovascular Disease Detection

Muthuselvi, G., & Tamilselvi, J. J. (2026) · International Journal on Smart Sensing and Intelligent Systems · doi:10.2478/ijssis-2026-0059

A Novel Optimization Enabled Ensemble Deep Learning Model for Heart Disease Detection

Vidya, C. A., & Shalini, V. B. (2025) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.70273 · Cited by 1 · see citing works

Effective prediction of heart disease using hybrid ensemble deep learning and tunicate swarm algorithm

Wankhede, J. P., Sambandam, P., & Kumar, S. M. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2021.1987328 · Cited by 24 · see citing works

Cardiac Heart Disease Prediction using Deep Learning-based Ensemble Classifier

Nikam, Y., & Paithane, A. N. (2025) · Journal of Carcinogenesis · doi:10.64149/j.carcinog.24.3.307-318

Hybrid Deep Ensemble Learning with Metaheuristic Optimization for Heart Disease Prediction

Ahamed, B. S., Virdee, B., Khanna, A., Vidhya, R. G., & Sivashankar, S. (2026) · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) · doi:10.1109/icaiss68683.2026.11526144

Ensemble Learning Based on Hybrid Deep Learning Model for Heart Disease Early Prediction

Almulihi, A. H., Saleh, H., Hussien, A. M., Mostafa, S., El–Sappagh, S., Alnowaiser, K., Ali, A. A., & Hassan, M. R. (2022) · Diagnostics · doi:10.3390/diagnostics12123215 · Cited by 116 · see citing works