Enhanced glucose forecasting using recurrent neural network and advanced feature engineering
Abstract The aim of this study is to develop an artificial intelligence (AI)-driven pipeline for forecasting blood glucose levels to mitigate risks associated with hypoglycemia and hyperglycemia. The main research question focuses on the effectiveness of hybrid data preprocessing and feature enginee...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2026-04-01
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| シリーズ: | Scientific Reports |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-026-41066-5 |
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