Artificial intelligence with temporal features outperforms machine learning in predicting diabetes

Research article (PLOS Digital Health, 2023) · cited 17× · AI/ML
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Artificial intelligence with temporal features outperforms machine learning in predicting diabetes

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Artificial intelligence with temporal features outperforms machine learning in predicting diabetes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Artificial intelligence with temporal features outperforms machine learning in predicting diabetes. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-intelligence-with-temporal-features-outperforms-machine-learning-in-predicting-diabetes
MLA “Artificial intelligence with temporal features outperforms machine learning in predicting diabetes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-intelligence-with-temporal-features-outperforms-machine-learning-in-predicting-diabetes.
BibTeX @misc{4ortxyz_artificial-intelligence-with-temporal-features-outperforms-machine-learning-in-predicting-diabetes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial intelligence with temporal features outperforms machine learning in predicting diabetes}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-intelligence-with-temporal-features-outperforms-machine-learning-in-predicting-diabetes}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial intelligence with temporal features outperforms machine learning in predicting diabetes — https://4ort.xyz/entity/artificial-intelligence-with-temporal-features-outperforms-machine-learning-in-predicting-diabetes (retrieved 2026-05-24)

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