Evaluation and Assessment of AI-Driven Systems in Hospitals

Edited by:   Anandavalli M., Prabhu Chakkaravarthy, Dhanalakshmi J.
Imprint:   Medical Information Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337327884
Pages:   564
Publication Date:   01 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Anandhavalli Muniasamy is an Associate Professor in the Department of Computer Science at King Khalid University, Saudi Arabia. She earned her Ph.D. in Computer Science and Engineering from Sikkim Manipal University, India. Her research expertise spans data mining, data analytics, artificial intelligence (AI), soft computing, and data science, with a strong focus on machine learning and deep learning for advanced data analysis. She has authored over 35 research papers and book chapters in reputed international journals. She has actively participated in more than 30 national and international conferences, contributing through presentations and edited book publications. She has led multiple research projects as Principal Investigator and Co-Principal Investigator, including a funded project supported by the All India Council for Technical Education (AICTE). Beyond research, she serves as a long-time manuscript reviewer for top-tier journals and a Ph.D. thesis examiner for several universities. She is frequently invited to deliver guest lectures and contributes as an editorial board member for reputed journals and conferences. She is a member of professional bodies including the International Association of Engineers (IAENG), the Computer Society of India (CSI), and the International Association of Computer Science and Information Technology (IACSIT). Her current research is centered on using AI technologies—particularly machine learning and deep learning—to address complex challenges in medical data analysis, aiming to deliver impactful, innovative solutions. A. Prabhu Chakkaravarthy was born on 18th February 1985 in Tamilnadu, India. He received his Ph.D. in Computer Science and Engineering from Sathyabama Institute of Science and Technology, Chennai, India. He is graduated from Anna University, Chennai in 2007 with the Bachelor of Technology degree in Computer Science and Engineering. He received the Master of Technology degree in Computer Science and Engineering from Sathyabama University, Chennai in 2012 with Distinction. He is currently working as an Assistant Professor in Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. He is currently pursuing a postdoctoral fellowship at the National Kaohsiung University of Science and Technology, which is located in Kaohsiung, Taiwan. He has published more than 70 research papers in national, international conferences, journals including 8 in Science Citation Indexed journals. He has published 10 patents, 2 patents granted. His research interests include IOT, Artificial Intelligence, Deep Learning, Data Science, Signal Processing and Image Processing. Dhanalakshmi J. was born on th September 1992 in Tamilnadu, India. She received the B.E. degree in Computer Science and Engineering and M.E. degree in Computer Science and Engineering from Anna University, Tamil Nadu, India. She was ranked 31st at Anna University for her Masters degree in Computer Science and Engineering. She was a software developer at Fermtronics Technology Solutions until 2018. She completed her Ph.D. degree at the School of Computer Science and Engineering in B.S. Abdur Rahman Crescent Institute of Science and Technology, located in Chennai, India. She is currently pursuing a postdoctoral fellowship at the National Kaohsiung University of Science and Technology, which is located in Kaohsiung, Taiwan. She is currently working as an Assistant Professor in Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. She published more than 10 research papers in International, National Journals including Conferences and Book Chapter in SCI and Scopus Indexed. Her research interests include Energy Analytics, Artificial Intelligence, Deep Learning, Data Science, Internet of Things (IOT) and Machine Learning.