Study develops responsible AI predicting delayed hospital discharge

Hospital bed capacity management is under pressure, so a study develops and evaluates a responsible AI to predict delayed hospital discharge among older adults. The work balances prediction accuracy, equity, and explainability to support clinical decision-making and operational planning amid constrained health care resources.
Scoring Rationale
Applied clinical prediction work that emphasizes fairness and explainability, offering moderate relevance for practitioners building responsible healthcare ML systems.
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