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A multidimensional prediction-context framework that complements a calibrated mortality estimate with model behavior, data availability, recent physiology, and model attribution is developed, extending interpretation beyond risk scores and feature rankings alone.
Current AI applications in IPC are examined, including early infection detection, healthcare-associated infection prediction, antimicrobial resistance forecasting, automated surveillance, hand hygiene and personal protective equipment compliance monitoring, environmental decontamination, antimicrobial stewardship, and...
The proposed GPT2-based table-to-text framework provides a practical and clinically interpretable approach for disease prediction from limited structured healthcare data and demonstrates strong potential for early risk detection, transparent clinical decision support, and reliable deployment in real-world low-resource...
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