Fog Computing-Integrated ML-Based Framework and Solutions for Intelligent Systems

Abstract

The integration of fog computing and machine learning (ML) in digital healthcare has revolutionized patient care, operations, and personalized treatment. This chapter explores the potential of fog computing in telemedicine, remote monitoring, and personalized treatment. It highlights its role in addressing data processing challenges, enabling real-time data analytics, and ensuring secure transmission of medical information. Key case studies demonstrate how these integrated solutions are driving innovation in the healthcare industry. The combination of fog computing and ML offers a promising avenue for the future of digital healthcare, focusing on data-driven decision-making and precision medicine.