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Author

Mohammed Assiri

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Open access Oct 2026

A Hybrid Temporal Deep Learning-Based Intelligent Heart Disease Detection and Classification Model

Conventional Machine Learning (ML) approaches often struggle to handle high-dimensional medical data and to identify the most relevant diagnostic features, thereby affecting prediction reliability. To address these limitations, this study proposes an Artificial Intelligence (AI)-based model, namely Integrating Feature...

Mohammed Assiri · 0 citations
Open access Aug 2026

Harnessing a Hybrid Dimensionality Reduction Strategy with Temporal Convolutional Networks for Heart Disease Detection

Heart disease (HD) remains one of the major causes of global mortality, with efficient management and prevention mainly relying on early identification and precise diagnosis. However, conventional methods struggle to achieve improved HD detection results. The SDG 3 focuses on preventing unnecessary suffering from avoid...

Mohammed Assiri · 0 citations

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