Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data
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Background and objective: Real-world data encompass population diversity, enabling insights into chronic disease mortality risk among the elderly. Deep learning excels on large datasets, offering promise for real-world data. Howe... ...
