Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data

Research article (2017 IEEE Congress on Evolutionary Computation (CEC), 2017) · cited 16× · AI/ML
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Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data

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Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-augmentation-and-evolutionary-algorithms-to-improve-the-prediction-of-blood-glucose-levels-in-scarcity-of-training-
MLA “Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-augmentation-and-evolutionary-algorithms-to-improve-the-prediction-of-blood-glucose-levels-in-scarcity-of-training-.
BibTeX @misc{4ortxyz_data-augmentation-and-evolutionary-algorithms-to-improve-the-prediction-of-blood-glucose-levels-in-scarcity-of-training-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-and-evolutionary-algorithms-to-improve-the-prediction-of-blood-glucose-levels-in-scarcity-of-training-}, note = {Accessed: 2026-05-24}}
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