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Evaluation metrics: We used AUROC to evaluate the classification performance

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eess.SP 1

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2024 1

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CONDITIONAL 1

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MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes

eess.SP · 2024-12-13 · conditional · novelty 6.0

A multimodal transformer trained on EHR, accelerometer, facial action unit, and environmental data improves ICU acuity transition and status prediction compared with an EHR-only baseline in a single-center study.

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  • MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes eess.SP · 2024-12-13 · conditional · none · ref 3

    A multimodal transformer trained on EHR, accelerometer, facial action unit, and environmental data improves ICU acuity transition and status prediction compared with an EHR-only baseline in a single-center study.