Multi-label Phenotyping on MIMIC-III benchmark leaderboard · SOTA2 Research

Multi-label Phenotyping on MIMIC-III

0.738Macro AUROCFull Dataset

Evaluation Results

Method	Links
Full Dataset2026.04		0.738	0.395
DATM2026.04		0.73	0.379
BTM2026.04		0.729	0.389
BTM2026.04		0.727	0.383
MTT2026.04		0.717	0.372
DATM2026.04		0.715	0.371
FTD2026.04		0.714	0.366
MCT2026.04		0.714	0.369
MCT2026.04		0.713	0.361
BTM2026.04		0.713	0.365
MTT2026.04		0.705	0.358
DATM2026.04		0.7	0.352
FTD2026.04		0.699	0.341
MCT2026.04		0.698	0.342
BTM2026.04		0.69	0.339
MTT2026.04		0.689	0.336
Random2026.04		0.687	0.34
FTD2026.04		0.681	0.325
DATM2026.04		0.679	0.327
MCT2026.04		0.675	0.321
MTT2026.04		0.668	0.31
Random2026.04		0.661	0.312
FTD2026.04		0.659	0.299
Random2026.04		0.64	0.29
Random2026.04		0.602	0.261