Hybrid Information Systems

An overview of new trends on deep learning models for diabetes risk prediction

Kirti Verma

Vineeta Shrivastava

Neeraj Chandnani

M. Sundararajan

Adarsh Mangal

Abstract

This chapter provides an overview of emerging deep learning techniques for early detection and management of diabetes. It examines recent neural network architectures that have achieved state-of-the-art performance on tasks like glucose forecasting, diagnosis, and readmission risk predictions. Key innovations covered relate to handling longitudinal patient data, integrating multimodal inputs, and transfer learning approaches that improve generalization. The chapter’s scope aligns with the book’s focus on synchronizing data and systems for actionable insights, as these ...