Home » Artificial Intelligence-Based System Models in Healthcare
Product Image

Artificial Intelligence-Based System Models in Healthcare

€248.00
Quantity:
Ships in 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery

Healthcare Systems

Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=A. Jose Anand
B01=Jyotir Moy Chatterjee
B01=K. Kalaiselvi
Biomedical Text Processing
Category1=Non-Fiction
Category=MBF
Category=MBP
Category=UYQ
COP=United States
Decision Support System
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Health Diagnostic Systems
Health Insurance
Health Records
Health Status Estimation
Healthcare Applications

Image Analysis
Intensive Care Units
Language_English
Medical Enquiries
Medical Imaging
PA=Available
Predictive Analysis
Price_€100 and above
PS=Active
softlaunch
Ventilation Needs
Vision-Based Management

Product details

  • ISBN 9781394242498
  • Publication Date: 02 Feb 2025
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns
Description

Artificial Intelligence-Based System Models in Healthcare provide a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. As technological advancements reshape medical practices, this handbook serves as a roadmap for researchers, healthcare professionals, and technology enthusiasts in the evolving healthcare delivery of AI-based systems. The contributor's and editors' knowledge provides a valuable resource to help understand how AI-based solutions will improve patient care and inspire the advancements of cutting-edge solutions.

 

This book is edited into three sections, focusing on healthcare systems and AI-based system models. The first section explores the introduction to healthcare systems, focusing on the fundamental role of technology in reshaping the healthcare landscape. This section offers a unique perspective, emphasizing the integration of technology into healthcare ecosystems. The second part takes a deep dive into specific AI-based system model applications. From valuable insights into how AI systems offer valuable insights into the potential impact of patient outcomes, it also delves into topics of machine learning, image analysis, and biomedical text processing. The final section covers the future landscape of AI applications in healthcare practices. This section concludes by exploring the frontiers of AI-driven healthcare innovations and how they will aid the future of healthcare.
About

A. Jose Anand, Ph.D., is a professor in the Department of ECE, KCG College of Technology, Chennai, Tamil Nadu, India. He obtained a Ph.D. in information and communication engineering from Anna University in 2017. He published several papers in national and international journals and also published books on polytechnic & engineering subjects.

 

K. Kalaiselvi, Ph.D., is an associate professor in the Department of Computer Applications, Saveetha College of Liberal Arts and Sciences, Chennai, Tamil Nadu, India. She has completed a mini-project on mobile tracking systems and delivered lectures at national and international conferences on her current research areas. She developed E-Content for the Database Management Systems course, SAP Course. In addition, she received the ‘Senior Woman Educator & Scholar Award’ in 2020.

 

Jyotir Moy Chatterjee, Ph.D., is an assistant professor in the Department of CSE, Graphic Era University, Dehradun, Uttarakhand, India. Additionally, he is an assistant professor in the Department of IT at the Lord Buddha Education Foundation, Kathmandu, Nepal. His research interests include machine learning and the Internet of Things. He is also the Young Ambassador of the Scientific Research Group of Egypt for 2020-2021.