An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction

By O. W. Samuel, M. G. Asogbon, Arun Kumar Sangaiah, Peng Fang, Guanglin Li. Expert systems with applications, 2017

382 citations recorded by the source corpus.

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A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms (2018, methodology): “In order to diagnose heart disease, an integrated decision support medical system based on ANN and Fuzzy AHP were designed by the authors in [12] which utilizes machine learning algorithm, artificial neural network, and Fuzzy analytical hierarchical processing.”
Heart Disease Prediction Using Machine Learning Algorithms (2024, methodology): “Also, Resul and team [15] constructed a diagnostic system for heart disease using an ensemble of artificial neural networks and a statistical measurement system called Enterprise Miner (5.2).”
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques (2019, methodology): “The accuracy of this technique has improved in correspondence to the number of records [40].”
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare (2020, methodology): “Furthermore, the performance of the proposed technique have been compared with state of the art existing methods in the literature, such as NB [17], Three phase ANN (Artiﬁcial neural Network) diagnosis system [18], Neural network ensembles (NNE) [19], ANN-Fuzzy-AHP diagnosis system (AFP) [20], Adapt”