ENHANCING PERSONALIZED DIABETES TREATMENT WITH LARGE LANGUAGE MODELS AND CHAIN-OF-THOUGHT REASONING

Diabetic patients often struggle to determine the appropriate dosage of short-acting insulin to effectively manage theirblood glucose levels. Miscalculating the insulin dose can lead to serious complications, such as hypoglycemia orhyperglycemia.

Publication Details

Published
2024-10-26
DOI
https://doi.org/10.33965/celda2024_202408c005
Primary Topic
Topic Modeling
Type
article
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article

ENHANCING PERSONALIZED DIABETES TREATMENT WITH LARGE LANGUAGE MODELS AND CHAIN-OF-THOUGHT REASONING

Topic Modeling
article

ENHANCING PERSONALIZED DIABETES TREATMENT WITH LARGE LANGUAGE MODELS AND CHAIN-OF-THOUGHT REASONING

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Abstract

Diabetic patients often struggle to determine the appropriate dosage of short-acting insulin to effectively manage theirblood glucose levels. Miscalculating the insulin dose can lead to serious complications, such as hypoglycemia orhyperglycemia.

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Topic Modeling
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