Vol. 3 No. 1 (2023): Hong Kong Journal of AI and Medicine
Articles

Evolutionary Optimization for Machine Learning - Hyperparameter Tuning

Dr. Javier Gomez
Professor, AI Applications in Healthcare, Atlantic University, Madrid, Spain
Cover

Published 17-04-2023

Keywords

  • Telemedicine,
  • Remote Patient Monitoring,
  • Healthcare,
  • Patient Care,
  • Artificial Intelligence,
  • Telehealth
  • ...More
    Less

How to Cite

[1]
Dr. Javier Gomez, “Evolutionary Optimization for Machine Learning - Hyperparameter Tuning”, Hong Kong J. of AI and Med., vol. 3, no. 1, pp. 21–27, Apr. 2023, Accessed: Dec. 03, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/9

Abstract

Telemedicine, the remote provision of healthcare services, has emerged as a vital tool in modern healthcare delivery. The integration of Artificial Intelligence (AI) technologies, particularly AI-powered remote patient monitoring, holds promise for enhancing telemedicine practices. This paper explores the potential of AI to improve remote patient monitoring, thereby transforming telemedicine and patient care. It discusses the benefits, challenges, and future directions of AI in telemedicine, highlighting the need for ethical considerations and regulatory frameworks. Through a comprehensive analysis, this paper aims to provide insights into how AI can be effectively utilized to enhance telemedicine and improve patient outcomes.

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