ICD-9 Code Prediction on MIMIC-III 8922 labels (full) benchmark leaderboard · SOTA2 Research

ICD-9 Code Prediction on MIMIC-III 8922 labels (full)

0.91AUC MacroMultiResCNN

Evaluation Results

Method	Links
MultiResCNN2019.11		0.91	0.986	0.085	0.552	—	—	0.734	0.584	—	—	—	—	—	—
CNN+att2020.10		0.902	0.986	0.086	0.525	—	—	0.697	—	0.093	0.08	0.618	0.456	0.507	0.607
DR-CAML2018.02		0.897	0.985	0.086	0.529	0.515	0.595	0.69	0.548	—	—	—	—	—	—
DR-CAML2019.11		0.897	0.985	0.086	0.529	—	—	0.69	0.548	—	—	—	—	—	—
CAML2018.02		0.895	0.986	0.088	0.539	0.524	0.609	0.709	0.561	—	—	—	—	—	—
CAML2019.11		0.895	0.986	0.088	0.539	—	—	0.709	0.561	—	—	—	—	—	—
CNN+att2020.10		0.886	0.984	0.07	0.517	—	—	0.694	—	0.077	0.064	0.628	0.439	0.501	0.598
HAN (HLAN)2020.10		0.885	0.981	0.036	0.407	—	—	0.614	—	0.054	0.027	0.632	0.3	0.37	0.526
HAN (HLAN)2020.10		0.882	0.981	0.033	0.384	—	—	0.596	—	0.051	0.024	0.632	0.276	0.348	0.506
HAN (HLAN)2020.10		0.874	0.979	0.031	0.356	—	—	0.563	—	0.047	0.023	0.604	0.253	0.314	0.491
Bi-GRU2020.10		0.849	0.976	0.042	0.426	—	—	0.603	—	0.05	0.036	0.554	0.348	0.4	0.527
Bi-GRU2020.10		0.835	0.973	0.041	0.418	—	—	0.589	—	0.049	0.036	0.528	0.348	0.393	0.517
CNN2020.10		0.824	0.971	0.041	0.434	—	—	0.603	—	0.047	0.036	0.53	0.369	0.417	0.513
Bi-GRU2018.02		0.822	0.971	0.038	0.417	0.393	0.514	0.585	0.445	—	—	—	—	—	—
CNN2020.10		0.818	0.97	0.041	0.428	—	—	0.596	—	0.045	0.037	0.51	0.369	0.411	0.507
CNN2018.02		0.806	0.969	0.042	0.419	0.402	0.491	0.581	0.443	—	—	—	—	—	—
Logistic Regression2018.02		0.561	0.937	0.011	0.272	0.242	0.398	0.542	0.411	—	—	—	—	—	—
Scheurwegs et al.2018.02		—	—	—	—	0.428	0.555	—	—	—	—	—	—	—	—