Table 2 Comparison with baseline models in the task of adverse clinical outcome prediction in patients with COVID-19

From: A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

Method

Mean

Admission to ICU

Need for MV

Death

Image-only

0.307 (0.237, 0.391)

0.482 (0.355, 0.636)

0.247 (0.136, 0.398)

0.192 (0.073, 0.333)

Early fusion

0.521 (0.435, 0.614)

0.665 (0.548, 0.774)

0.551 (0.397, 0.699)

0.346 (0.174, 0.544)

Late fusion

0.503 (0.422, 0.598)

0.647 (0.535, 0.759)

0.533 (0.388, 0.685)

0.330 (0.164, 0.531)

GIT

0.514 (0.442, 0.605)

0.653 (0.546, 0.743)

0.554 (0.411, 0.702)

0.335 (0.168, 0.554)

Perceiver

0.526 (0.448, 0.611)

0.652 (0.529, 0.771)

0.566 (0.406, 0.715)

0.360 (0.201, 0.543)

IRENE

0.592 (0.500, 0.682)

0.712 (0.587, 0.834)

0.624 (0.473, 0.754)

0.441 (0.270, 0.617)

  1. The evaluation metric is AUPRC, with 95% confidence intervals in brackets.
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