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October 9, 2026International Journal of Information and Electronics EngineeringOpen Access

A Hybrid CNN-LSTM Framework for Pre-Diabetes Risk Prediction Using Longitudinal Health Data

Prasanna Laxmi Sama Susmitha Cherukuri

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Abstract

Pre-diabetes represents an intermediate metabolic state in which glucose regulation becomes impaired, increasing the likelihood of progression to type 2 diabetes and associated cardiovascular complications. Its development is influenced by multiple interacting factors, including age, body mass index, family history, dietary habits, physical inactivity

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Prasanna Laxmi Sama Susmitha Cherukuri (2026) studied this question.

synapsesocial.com/papers/6acc78f4da8068d2261e9c94 https://doi.org/10.48047/n86gyg25

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