From: Predicting multiple sclerosis severity with multimodal deep neural networks
 | AUROC | AUPRC | Sensitivity | Specificity | Accuracy |
---|---|---|---|---|---|
MRI T1-pre | 0.6462 \(\pm\) 0.0352 | 0.2074 ± 0.0145 | 0.5089 ± 0.0397 | 0.7679 ± 0.0209 | 0.6567 ± 0.0300 |
MRI T1-post | 0.6437 \(\pm\) 0.0389 | 0.2027 ± 0.0180 | 0.5501 ± 0.0390 | 0.6536 ± 0.0252 | 0.6697 ± 0.0199 |
MRI T2 | 0.7736 ± 0.0268 | 0.2245 ± 0.0198 | 0.6834 ± 0.0223 | 0.7409 ± 0.0398 | 0.7467 ± 0.0390 |
MRI FLAIR | 0.7945 ± 0.2798 | 0.3306 ± 0.0309 | 0.7689 ± 0.0261 | 0.7423 ± 0.0265 | 0.7423 ± 0.0399 |
MRI PD | 0.5430 ± 0.0401 | 0.0998 ± 0.0321 | 0.7536 ± 0.0218 | 0.4862 ± 0.0300 | 0.5046 ± 0.0399 |
Clinical Notes | 0.7048 ± 0.0365 | 0.5201 ± 0.0293 | 0.4632 ± 0.0320 | 0.8956 ± 0.0235 | 0.4958 ± 0.0301 |
Structured EHR | 0.6589 ± 0.0193 | 0.3651 ± 0.0265 | 0.7015 ± 0.0263 | 0.6587 ± 0.0366 | 0.6984 ± 0.0265 |
MRIs & Notes | 0.7988 ± 0.0465 | 0.6321 ± 0.0299 | 0.7024 ± 0.0536 | 0.7792 ± 0.0563 | 0.7963 ± 0.0422 |
MRIs & EHR | 0.7836 ± 0.0531 | 0.4265 ± 0.0323 | 0.6789 ± 0.0411 | 0.6875 ± 0.0333 | 0.6841 ± 0.0523 |
EHR & Notes | 0.8078 ± 0.0232 | 0.7978 ± 0.0453 | 0.7268 ± 0.0435 | 0.7643 ± 0.0255 | 0.8125 ± 0.0353 |
MS-BERT( [11]) | 0.6010 ± 0.0222 | 0.2064 ± 0.0356 | 0.3090   ± 0.0265 | 0.7936 ± 0.0512 | 0.7788 ± 0.0398 |
MRI & Notes & EHR | 0.8380 ± 0.0438 | 0.7963 ± 0.0520 | 0.7489   ± 0.0502 | 0.7936 ± 0.0488 | 0.7960 ± 0.0312 |