# Blood Glucose Forecasting on AZT1D 30 min Prediction Horizon (test)

Source: [Blood Glucose Forecasting on AZT1D 30 min Prediction Horizon (test)](<https://www.sota2.com/research/sota/blood-glucose-forecasting-on-azt1d-30-min-prediction-horizon-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-16T06:45:18.031Z

Evaluation of models performing blood glucose forecasting using the AZT1D dataset with a 30-minute prediction horizon on the test split, assessed using RMSE and MAE.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Blood Glucose Forecasting |
| Dataset (including any stated split) | AZT1D 30 min Prediction Horizon (test) |
| Metric | RMSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [RMSE](<https://www.sota2.com/research/sota/blood-glucose-forecasting-on-azt1d-30-min-prediction-horizon-test.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [MAE](<https://www.sota2.com/research/sota/blood-glucose-forecasting-on-azt1d-30-min-prediction-horizon-test.md?metric=MAE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | RMSE | Result date | Report paper |
| --- | --- | --- | --- |
| GlucoNet | 9.27 | Not recorded | 68fa775c1e209131cea72b7e |
| LSTM + Small Transformer | 9.36 | Not recorded | 68fa775c1e209131cea72b7e |
| LSTM + Large Transformer | 9.98 | Not recorded | 68fa775c1e209131cea72b7e |
| GLIMMER | 14.46 | Not recorded | 68fa775c1e209131cea72b7e |
| CNN–LSTM | 17.21 | Not recorded | 68fa775c1e209131cea72b7e |

### GlucoNet

RMSE: 9.27. Result ID: 69e0856647f34ce924c9310b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa775c1e209131cea72b7e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa775c1e209131cea72b7e.md>)

Recorded evaluation configuration: {"Knowledge Distillation":"True","Protocol":"Short-Term (ST)","Configuration":"(32, 16)"}. This record does not assert independent reproduction.

### LSTM + Small Transformer

RMSE: 9.36. Result ID: 69e0856647f34ce924c93109.

[Reporting paper](<https://www.sota2.com/research/paper/68fa775c1e209131cea72b7e.md>)

Recorded evaluation configuration: {"Transformer Size":"Small"}. This record does not assert independent reproduction.

### LSTM + Large Transformer

RMSE: 9.98. Result ID: 69e0856647f34ce924c9310a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa775c1e209131cea72b7e.md>)

Recorded evaluation configuration: {"Transformer Size":"Large"}. This record does not assert independent reproduction.

### GLIMMER

RMSE: 14.46. Result ID: 69e0856647f34ce924c93108.

[Reporting paper](<https://www.sota2.com/research/paper/68fa775c1e209131cea72b7e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a501e209131cea8265f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CNN–LSTM

RMSE: 17.21. Result ID: 69e0856647f34ce924c93107.

[Reporting paper](<https://www.sota2.com/research/paper/68fa775c1e209131cea72b7e.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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