Medical Time Series Classification on APAVA (subject-dependent) benchmark leaderboard · SOTA2 Research

Medical Time Series Classification on APAVA (subject-dependent)

98.86AccuracyMedMamba

Evaluation Results

Method	Links
MedMamba2026.05		98.86	98.77	98.87	98.81	99.96	99.82
KEMed2026.05		98.29	98.27	98.17	98.22	99.85	99.82
MedGNN2026.05		98.16	98.16	98.02	98.08	99.84	99.83
GPT4TS2026.05		98.09	98.14	97.89	98	99.81	99.83
TodyNet2026.05		96.63	96.82	96.73	96.78	99.53	99.53
MedFormer2026.05		96.26	96.88	95.44	96.05	99.69	99.7
PatchTST2026.05		94.22	94.08	93.91	93.86	98.83	98.77
iTransformer2026.05		91.34	90.99	91.03	90.97	97.04	96.49
MTST2026.05		75.06	73.83	72.69	73.01	91.33	79.32
FourierGNN2026.05		67.09	65.58	64.97	65.12	71.36	69.77