id	domain	url
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	www.kivumedicaljournal.com	http://www.kivumedicaljournal.com/index.php/kmj/article/view/11
cana-3966	doi.org	https://doi.org/10.1007/s10741-021-10105-w
cana-3966	doi.org	https://doi.org/10.1038/s41569-020-0379-7
cana-3966	doi.org	https://doi.org/10.1016/j.ahj.2020.07.009
cana-3966	doi.org	https://doi.org/10.1186/s12911020-1023-5
cana-3966	doi.org	https://doi.org/10.1016/j.pcad.2024.01.001
cana-3966	doi.org	https://doi.org/10.1002/ehf2.13073
cana-3966	doi.org	https://doi.org/10.1177/2048872620930889
cana-3966	www.kivumedicaljournal.com	http://www.kivumedicaljournal.com/index.php/kmj/article/view/11
cana-3966	doi.org	https://doi.org/10.1007/s10741-021-10105-w
cana-3966	doi.org	https://doi.org/10.1038/s41569-020-0379-7
cana-3966	doi.org	https://doi.org/10.1016/j.ahj.2020.07.009
cana-3966	doi.org	https://doi.org/10.1186/s12911-020-1023-5
cana-3966	doi.org	https://doi.org/10.1186/s12911-020-1023-5
cana-3966	doi.org	https://doi.org/10.1016/j.pcad.2024.01.001
cana-3966	doi.org	https://doi.org/10.1002/ehf2.13073
cana-3966	doi.org	https://doi.org/10.1177/2048872620930889
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	doi.org	https://doi.org/10.1503/cmaj.190848
cana-3966	doi.org	https://doi.org/10.1002/ehf2.12831
cana-3966	doi.org	https://doi.org/10.3390/diagnostics14070736
cana-3966	doi.org	https://doi.org/10.32604/csse.2023.035244
cana-3966	doi.org	https://doi.org/10.1016/j.cmpb.2021.105940
cana-3966	www.researchgate.net	https://www.researchgate.net/profile/ahmedzager/publication/340299532_enhanced_accuracy_of_heart_disease_prediction_using_machine_learning_and_
cana-3966	doi.org	https://doi.org/10.1007/s13369-020-05105-1
cana-3966	doi.org	https://doi.org/10.3389/fdgth.2020.576945
cana-3966	doi.org	https://doi.org/10.1016/j.artmed.2021.102108
cana-3966	doi.org	https://doi.org/10.3390/genes11070747
cana-3966	doi.org	https://doi.org/10.1161/jaha.123.030952
cana-3966	doi.org	https://doi.org/10.1161/circresaha.121.318172
cana-3966	doi.org	https://doi.org/10.1007/s10741-020-10007-3
cana-3966	doi.org	https://doi.org/10.1016/b978-0-12-821187-8.00005-8
cana-3966	www.kaggle.com	https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data
cana-3966	doi.org	https://doi.org/10.1503/cmaj.190848
cana-3966	doi.org	https://doi.org/10.1002/ehf2.12831
cana-3966	doi.org	https://doi.org/10.3390/diagnostics14070736
cana-3966	doi.org	https://doi.org/10.32604/csse.2023.035244
cana-3966	doi.org	https://doi.org/10.1016/j.cmpb.2021.105940
cana-3966	www.researchgate.net	https://www.researchgate.net/profile/ahmed-zager/publication/340299532_enhanced_accuracy_of_heart_disease_prediction_using_machine_learning_and_recurrent_neural_networks_ensemble_majority_voting_method/links/6069e0f0a6fdccad3f714500/enhanced-accuracy-of-heart-disease-prediction-using-machine-learning-and-recurrent-neural-networks-ensemble-majority-voting-method.pdf
cana-3966	www.researchgate.net	https://www.researchgate.net/profile/ahmed-zager/publication/340299532_enhanced_accuracy_of_heart_disease_prediction_using_machine_learning_and_recurrent_neural_networks_ensemble_majority_voting_method/links/6069e0f0a6fdccad3f714500/enhanced-accuracy-of-heart-disease-prediction-using-machine-learning-and-recurrent-neural-networks-ensemble-majority-voting-method.pdf
cana-3966	www.researchgate.net	https://www.researchgate.net/profile/ahmed-zager/publication/340299532_enhanced_accuracy_of_heart_disease_prediction_using_machine_learning_and_recurrent_neural_networks_ensemble_majority_voting_method/links/6069e0f0a6fdccad3f714500/enhanced-accuracy-of-heart-disease-prediction-using-machine-learning-and-recurrent-neural-networks-ensemble-majority-voting-method.pdf
cana-3966	www.researchgate.net	https://www.researchgate.net/profile/ahmed-zager/publication/340299532_enhanced_accuracy_of_heart_disease_prediction_using_machine_learning_and_recurrent_neural_networks_ensemble_majority_voting_method/links/6069e0f0a6fdccad3f714500/enhanced-accuracy-of-heart-disease-prediction-using-machine-learning-and-recurrent-neural-networks-ensemble-majority-voting-method.pdf
cana-3966	www.researchgate.net	https://www.researchgate.net/profile/ahmed-zager/publication/340299532_enhanced_accuracy_of_heart_disease_prediction_using_machine_learning_and_recurrent_neural_networks_ensemble_majority_voting_method/links/6069e0f0a6fdccad3f714500/enhanced-accuracy-of-heart-disease-prediction-using-machine-learning-and-recurrent-neural-networks-ensemble-majority-voting-method.pdf
cana-3966	doi.org	https://doi.org/10.1007/s13369-020-05105-1
cana-3966	doi.org	https://doi.org/10.3389/fdgth.2020.576945
cana-3966	doi.org	https://doi.org/10.1016/j.artmed.2021.102108
cana-3966	doi.org	https://doi.org/10.3390/genes11070747
cana-3966	doi.org	https://doi.org/10.1161/jaha.123.030952
cana-3966	doi.org	https://doi.org/10.1161/circresaha.121.318172
cana-3966	doi.org	https://doi.org/10.1007/s10741-020-10007-3
cana-3966	doi.org	https://doi.org/10.1016/b978-0-12-821187-8.00005-8
cana-3966	www.kaggle.com	https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data
cana-3966	internationalpubls.com	https://internationalpubls.com
cana-3966	doi.org	https://doi.org/10.7759%2fcureus.64100
cana-3966	doi.org	https://doi.org/10.3390/a16020088
cana-3966	doi.org	https://doi.org/10.1155/2022/5267498
cana-3966	doi.org	https://doi.org/10.7759%2fcureus.64100
cana-3966	doi.org	https://doi.org/10.3390/a16020088