Hybrid model with improved score level fusion for heart disease classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17599-6.pdf
Reference28 articles.
1. Zhenya Q, Zhang Z (2021) A hybrid cost-sensitive ensemble for heart disease prediction. BMC Med Inform Decis Mak 21(73). https://doi.org/10.1186/s12911-021-01436-7
2. Basheer S, Alluhaidan AS, Bivi MA (2021) Real-time monitoring system for early prediction of heart disease using Internet of Things. Soft Comput 25:12145–12158. https://doi.org/10.1007/s00500-021-05865-4
3. Hameed AZ, Ramasamy B, Shahzad MA, Ahmed Atef S, Bakhsh, (2021) Efficient hybrid algorithm based on genetic with weighted fuzzy rule for developing a decision support system in prediction of heart diseases. J Supercomput 77:10117–10137. https://doi.org/10.1007/s11227-021-03677-9
4. Kaur J, Khehra BS (2022) Fuzzy Logic and Hybrid based Approaches for the Risk of Heart Disease Detection: State-of-the-Art Review. J. Inst. Eng. India Ser. B 103:681–697. https://doi.org/10.1007/s40031-021-00644-z
5. Karadeniz T, Tokdemir G, Maraş HH (2021) Ensemble Methods for Heart Disease Prediction. New Gener Comput. 39:569–581. https://doi.org/10.1007/s00354-021-00124-4
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