Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare

Author:

Sreedhar P. Siva Satya1,Sujay V.2,Rani Maderametla Roja3,Melita L.4ORCID,Reshma S.5,Boopathi Sampath6ORCID

Affiliation:

1. Department of Information Technology, Seshadri Rao Gudlavalleru Engineering College, India

2. Department of Computer Science and Engineering, Krishna University College of Engineering and Technology, India

3. Department of Microbiology & FST, GITAM University, India

4. Department of Computer Applications, CMR University, India

5. Department of Artificial Intelligence and Machine Learning, Dayananda Sagar College of Engineering, India

6. Muthayammal Engineering College, India

Abstract

The healthcare industry is undergoing a transformation due to the convergence of advanced technologies. This chapter explores the impact of 5G connectivity, machine learning, and social media integration in healthcare. It delves into the evolution of telemedicine, the role of social media in healthcare communication, and the emergence of 5G networks and machine learning. The chapter also discusses the foundations of 5G technology, its implications for telemedicine, and the ethical considerations of machine learning techniques in healthcare. It also highlights the potential of social media in healthcare to foster professional connections, enable collaboration, and educate patients. The chapter addresses challenges like adoption barriers, ethical dilemmas, and legal considerations, envisioning a future where these technologies integrate for efficient, ethical, and patient-centric healthcare.

Publisher

IGI Global

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