| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| OhioT1DM PH = 60 minutes | TimesNet (2022) | RMSE (PH=60min)23.48 | 15 | 24d ago | |
| UVA/Padova type 1 diabetes dataset | LSTM | RMSE (30 min)5.01 | 15 | 26d ago | |
| AI-READI Average across groups | GlyLLM | iGlu-CE9.39 | 12 | 1mo ago | |
| AI-READI (Insulin T2D) | GlyLLM | iGlu-CE13.04 | 12 | 1mo ago | |
| AI-READI (Non-Insulin T2D) | GlyLLM | iGlu-CE10.31 | 12 | 1mo ago | |
| AI-READI (Pre-T2D) | GlyLLM | iGlu-CE8.14 | 12 | 1mo ago | |
| AI-READI (Healthy) | GlyLLM | iGlu-CE6.08 | 12 | 1mo ago | |
| T1DEXI shared 240 min horizon (test) | Seq2Seq + ODE | RMSE54.12 | 5 | 2mo ago | |
| T1DEXI shared (120 min horizon) (test) | Seq2Seq + ODE | RMSE46.16 | 5 | 2mo ago | |
| T1DEXI shared 60 min horizon (test) | Seq2Seq + ODE | RMSE33.71 | 5 | 2mo ago | |
| T1DEXI 30 min horizon (test) | Seq2Seq + ODE | RMSE21.71 | 5 | 2mo ago |
