A Guided Stochastic Gradient Descent Enhanced Neural Networks ‎for Early Diabetes Readmission Prediction

  • Authors

    • Gandharapu Vineela Department of Computer Science and Engineering, Koneru Lakshmaiah Education ‎Foundation, Vaddeswaram, 522502, Andhra Pradesh, India
    • Gogineni Krishna Chaitanya Department of Computer Science and Engineering, Koneru Lakshmaiah Education ‎Foundation, Vaddeswaram, 522502, Andhra Pradesh, India
    https://doi.org/10.14419/2dmybp18

    Received date: July 24, 2025

    Accepted date: September 10, 2025

    Published date: September 24, 2025

  • Guided Stochastic Gradient Descent; Diabetes Readmission Prediction; Ensemble Learning; ‎Artificial Neural Networks; Healthcare Analytics.

  • Abstract

    Diabetes is a prevalent chronic health condition globally, posing significant challenges to ‎healthcare systems and insurance companies due to its associated risks of hospital ‎readmission. Early prediction of readmissions, especially within 30 days, is crucial for ‎directing attention to high-risk patients and optimizing healthcare resources. This study ‎explores the application of machine learning models, including Extreme Gradient Boosting ‎‎(XGBoost), Support Vector Machine (SVM), and Artificial Neural Networks (ANN), to ‎predict diabetic readmissions. A novel approach is proposed, leveraging a guided optimizer ‎for ANN training to enhance classification accuracy and error convergence. Results ‎demonstrate up to a 1.5% improvement in classification accuracy compared to standard ‎methods, highlighting the effectiveness of the guided optimizer in capturing consistent data ‎patterns. By integrating AI-driven predictive analytics, this project aims to improve healthcare ‎efficiency, reduce hospital readmissions, and ultimately enhance patient outcomes in diabetic ‎care. Focusing on type II diabetes, the study addresses dataset challenges in medical ‎bioinformatics and underscores the global significance of mitigating readmissions to alleviate ‎the burden on healthcare systems and improve long-term patient well-being‎.

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  • How to Cite

    Vineela , G. ., & Chaitanya, G. K. . (2025). A Guided Stochastic Gradient Descent Enhanced Neural Networks ‎for Early Diabetes Readmission Prediction. International Journal of Basic and Applied Sciences, 14(5), 813-823. https://doi.org/10.14419/2dmybp18