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Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management.

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Bibliographic Details
Title: Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management.
Authors: R., Satheeskumar1 satheesme@gmail.com
Source: Journal of Clinical Research in Pediatric Endocrinology. Sep2025, Vol. 17 Issue 3, p278-287. 10p.
Database: Academic Search Ultimate
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  Data: Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Research+in+Pediatric+Endocrinology%22">Journal of Clinical Research in Pediatric Endocrinology</searchLink>. Sep2025, Vol. 17 Issue 3, p278-287. 10p.
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      – Type: doi
        Value: 10.4274/jcrpe.galenos.2025.2024-8-13
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        Text: English
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        PageCount: 10
        StartPage: 278
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      – TitleFull: Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management.
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              Text: Sep2025
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              Y: 2025
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