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data mining
A, Razia Sulthana ORCID: 0000-0001-5331-1310 , A K, Jaithunbi and P, Supraja (2023) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, Piscataway, New Jersey. ISBN 9781665494014 (doi:https://doi.org/10.1109/ICAECT57570.2023.10117653)
decision trees
A, Razia Sulthana ORCID: 0000-0001-5331-1310 , A K, Jaithunbi and P, Supraja (2023) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, Piscataway, New Jersey. ISBN 9781665494014 (doi:https://doi.org/10.1109/ICAECT57570.2023.10117653)
heart disease
A, Razia Sulthana ORCID: 0000-0001-5331-1310 , A K, Jaithunbi and P, Supraja (2023) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, Piscataway, New Jersey. ISBN 9781665494014 (doi:https://doi.org/10.1109/ICAECT57570.2023.10117653)
naive Bayes
A, Razia Sulthana ORCID: 0000-0001-5331-1310 , A K, Jaithunbi and P, Supraja (2023) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, Piscataway, New Jersey. ISBN 9781665494014 (doi:https://doi.org/10.1109/ICAECT57570.2023.10117653)
prediction
A, Razia Sulthana ORCID: 0000-0001-5331-1310 , A K, Jaithunbi and P, Supraja (2023) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, Piscataway, New Jersey. ISBN 9781665494014 (doi:https://doi.org/10.1109/ICAECT57570.2023.10117653)