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Open access Sep 2026

Forecasting Cardiovascular Health Indicators with Single and Hybrid Deep Learning Models

Objective: To compare single and hybrid deep learning models for forecasting six aggregate cardiovascular health indicators at two-, five-, and ten-year horizons. Methods: Convolutional neural networks (CNN), long short-term memory networks (LSTM), gated recurrent units (GRU), and three hybrid architectures were compa...

Kashif Sharif, Aima Iqbal, M. Rashid · 0 citations

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