A Clinical Decision Support System for Heart Disease Prediction Using Deep Learning

Almazroi, Abdulwahab Ali; Aldhahri, Eman; Bashir, Saba; Ashfaq, Sufyan

doi:10.1109/access.2023.3285247

Cited by 12 publications

(2 citation statements)

References 28 publications

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“…The use of the term deep in deep learning refers to the use of multiple layers within the neural network architecture used [12]. Meanwhile, in deep learning architecture, more than a hidden layer is used, as show in Deep learning does not have one common mathematical equation as in pure mathematics [13]. However, there are several equations that are used in the construction and training of neural networks, which are the foundation of deep learning [14].…”

Section: Fig 1 Perceptron Modelmentioning

confidence: 99%

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Rizki Anantama,

Rachmad Hidayat

2023

Technium

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This research paper compares the performance of the deep learning and MOORA methods in making multi-criteria decisions to choose the best puskesmas. This paper discusses the methodologies used in both approaches, the architectures and equations used in deep learning, and the advantages and limitations of each method. The results show that the deep learning approach achieves 100% accuracy and the MOORA approach dss model obtains an accuracy of 95.75%.

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Section: Fig 1 Perceptron Modelmentioning

confidence: 99%

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Rizki Anantama,

Rachmad Hidayat

2023

Technium

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“…Ten algorithms in all used in this study, namely Logistic Regression, NB, k-NN, SVM, MLP, ANN, DT, RF, XG Boost and Cat Boost. Abdulwahab Ali et al [6] used in this paper a deep learning framework for heart disease prediction. The proposed methodology is divided into two stages: data acquisition and preprocessing, and classification models and proposed model.…”

Section: IImentioning

confidence: 99%

Study of Heart Disease Prediction Using Machine Learning and Data Mining Techniques

Deokar

2023

IJRASET

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Heart disease has been increasing, which can be caused due to modern lifestyle, shift in dietary patterns, and other factor as population aging. The modern technology can help in early detection of such disease, reducing fatality risks. Modern technology like Machine Learning can be used for same, which uses other health data parameters to predict chances of any heart disease. This study uses datasets readily available online to train and test machine learning algorithms, as how effective can it get with processing. It studies the difference in scores of algorithms before and after using feature selection.

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Advanced Cloud-Based Prediction Models for Cardiovascular Disease: Integrating Machine Learning and Feature Selection Techniques

Dhiyanesh,

Ammal,

Saranya

et al. 2024

SN COMPUT. SCI.

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A Clinical Decision Support System for Heart Disease Prediction Using Deep Learning

Cited by 12 publications

References 28 publications

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Study of Heart Disease Prediction Using Machine Learning and Data Mining Techniques

Advanced Cloud-Based Prediction Models for Cardiovascular Disease: Integrating Machine Learning and Feature Selection Techniques

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