Overview

The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.

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Anandhavalli Muniasamy is an Associate Professor in the Department of Computer Science at King Khalid University (KKU), Saudi Arabia. She holds a Ph.D. in Computer Science and Engineering from Sikkim Manipal University, India. Her primary research interests include data mining, data analytics, artificial intelligence (AI), soft computing, and data science, with a specific focus on machine learning and deep learning applications for advanced data analysis. She has an impressive academic and research portfolio, having published over 35 research articles in prestigious international journals and book chapters. She has actively participated in more than 30 national and international conferences, presenting her work on cutting-edge computational techniques and edited book publications. As a Principal Investigator and Co-Principal Investigator, she has led several university-funded research projectsand served as the Principal Investigator for a funded project supported by the All India Council for Technical Education (AICTE).In addition to her research contributions, Dr. Muniasamy has been a dedicated manuscript reviewer for leading international journals for over a decade and a Ph.D. thesis examiner for multiple universities. She has also been invited to deliver guest lectures and serves as an editorial board member for various renowned journals and conferences. She is an active member of professional organizations such as 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 focuses on leveraging AI-driven techniques, particularly machine learning and deep learning, to solve complex problems in medical data analysis and deliver innovative solutions in her field. Affiliation: Department of Informatics and Computer Systems College of Computer Science Gregar Campus, King Khalid University Abha, Kingdom of Saudi Arabia. Email: anandhavalli@kku.edu.sa ; anandhavalli.dr@gmail.com

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