Enhanced diabetes prediction using skip-gated recurrent unit with gradient clipping approach

Enhanced diabetes prediction using skip-gated recurrent unit with gradient clipping approach

Diabetes mellitus is a metabolic disorder categorized using hyperglycemia that results from the body’s inability to adequately secrete and respond to insulin. Disease prediction using various machine learning (ML) approaches has gained attention because of its potential for early detection. However,...

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Main Authors: Suhas Kamshetty Chinnababu, Ananda Babu Jayachandra, Swathi Holalu Yogesh, Mohamed Abouhawwash, Doaa Sami Khafaga, Eman Abdullah Aldakheel, Vinaykumar Vajjanakurike Nagaraju
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Endocrinology
Subjects:
deep learning
diabetes mellitus
gradient clipping
machine learning
long-term dependencies
skip-gated recurrent unit
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1601883/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1601883/full

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