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Arxiv
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MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes
- MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes is a model designed to improve the prediction of patient acuity in the Intensive Care Unit (ICU).
- The model utilizes a multimodal dataset, incorporating electronic health records (EHR) data, wearable sensor data, video of patient's facial cues, and ambient sensor data.
- MANGO employs a multimodal feature fusion network powered by Transformer masked self-attention method to capture complex interactions across these diverse data modalities.
- The model achieved promising results, with an area under the receiver operating characteristic curve (AUROC) of 0.76-0.82 for predicting acuity status, transitions, and the need for life-sustaining therapy.
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